Overview

Dataset statistics

Number of variables256
Number of observations1370
Missing cells213894
Missing cells (%)61.0%
Total size in memory2.7 MiB
Average record size in memory2.0 KiB

Variable types

Numeric209
Text9
Unsupported38

Alerts

nvos has constant value ""Constant
id_gdg has 182 (13.3%) missing valuesMissing
registro has 199 (14.5%) missing valuesMissing
hoja_datos has 35 (2.6%) missing valuesMissing
exclusion has 35 (2.6%) missing valuesMissing
ev_1ertrim has 35 (2.6%) missing valuesMissing
ev_dieta has 35 (2.6%) missing valuesMissing
biopsias has 142 (10.4%) missing valuesMissing
reiterativa has 35 (2.6%) missing valuesMissing
comentario has 1028 (75.0%) missing valuesMissing
hospital_ref has 35 (2.6%) missing valuesMissing
estado has 120 (8.8%) missing valuesMissing
edad_dx has 56 (4.1%) missing valuesMissing
peso_h has 315 (23.0%) missing valuesMissing
talla has 78 (5.7%) missing valuesMissing
imc_h has 145 (10.6%) missing valuesMissing
obs_h has 80 (5.8%) missing valuesMissing
peso_1 has 760 (55.5%) missing valuesMissing
peso_2 has 580 (42.3%) missing valuesMissing
peso_3 has 887 (64.7%) missing valuesMissing
ganancia_peso has 935 (68.2%) missing valuesMissing
pas has 332 (24.2%) missing valuesMissing
pad has 332 (24.2%) missing valuesMissing
sdg_tamiz has 938 (68.5%) missing valuesMissing
tam_0 has 930 (67.9%) missing valuesMissing
tam_120 has 921 (67.2%) missing valuesMissing
tipo_dx has 129 (9.4%) missing valuesMissing
sdg_dx has 234 (17.1%) missing valuesMissing
sdg_dx_num has 234 (17.1%) missing valuesMissing
gluc_dx_0 has 120 (8.8%) missing valuesMissing
gluc_dx_60 has 121 (8.8%) missing valuesMissing
gluc_dx_120 has 121 (8.8%) missing valuesMissing
gluc_dx_180 has 219 (16.0%) missing valuesMissing
dx_inicio has 122 (8.9%) missing valuesMissing
auc has 122 (8.9%) missing valuesMissing
sdg_pp has 857 (62.6%) missing valuesMissing
gluc_pp_0 has 832 (60.7%) missing valuesMissing
gluc_pp_60 has 1142 (83.4%) missing valuesMissing
gluc_pp_120 has 833 (60.8%) missing valuesMissing
gluc_pp_180 has 1149 (83.9%) missing valuesMissing
dx_pp has 831 (60.7%) missing valuesMissing
ichos_pregesta has 264 (19.3%) missing valuesMissing
hta_pregesta has 105 (7.7%) missing valuesMissing
sop has 235 (17.2%) missing valuesMissing
hipotiroidismo has 263 (19.2%) missing valuesMissing
hipertiroidismo has 263 (19.2%) missing valuesMissing
consumo_alcohol has 645 (47.1%) missing valuesMissing
consumo_tabaco has 644 (47.0%) missing valuesMissing
anticonceptivo has 656 (47.9%) missing valuesMissing
ah_dm has 93 (6.8%) missing valuesMissing
ah_hta has 94 (6.9%) missing valuesMissing
ah_ob has 93 (6.8%) missing valuesMissing
ah_dg has 119 (8.7%) missing valuesMissing
no_gestas has 79 (5.8%) missing valuesMissing
ant_dg has 263 (19.2%) missing valuesMissing
ant_aborto has 88 (6.4%) missing valuesMissing
ant_obito has 134 (9.8%) missing valuesMissing
ant_mnt has 118 (8.6%) missing valuesMissing
ant_malformado has 256 (18.7%) missing valuesMissing
ant_macrosomico has 104 (7.6%) missing valuesMissing
cesarea_iter has 87 (6.4%) missing valuesMissing
ema has 54 (3.9%) missing valuesMissing
alta_paridad has 79 (5.8%) missing valuesMissing
estatura_baja has 82 (6.0%) missing valuesMissing
pgr has 95 (6.9%) missing valuesMissing
infeccion_pregesta has 319 (23.3%) missing valuesMissing
embarazo_multiple has 123 (9.0%) missing valuesMissing
preeclampsia has 210 (15.3%) missing valuesMissing
polihidramnios has 267 (19.5%) missing valuesMissing
hidramnios has 241 (17.6%) missing valuesMissing
infeccion_gesta has 170 (12.4%) missing valuesMissing
ac_fol_pregesta has 928 (67.7%) missing valuesMissing
ac_fol_gesta has 827 (60.4%) missing valuesMissing
sdg_fol has 989 (72.2%) missing valuesMissing
trim_fol has 915 (66.8%) missing valuesMissing
ac_fol_dosis_mg has 977 (71.3%) missing valuesMissing
tx_ins has 317 (23.1%) missing valuesMissing
modo_parto has 520 (38.0%) missing valuesMissing
sdg_parto has 672 (49.1%) missing valuesMissing
termino_rn has 657 (48.0%) missing valuesMissing
sexo_rn has 496 (36.2%) missing valuesMissing
peso_rn has 494 (36.1%) missing valuesMissing
talla_rn has 572 (41.8%) missing valuesMissing
pc has 1132 (82.6%) missing valuesMissing
capurro has 798 (58.2%) missing valuesMissing
apgar_1 has 884 (64.5%) missing valuesMissing
apgar_5 has 879 (64.2%) missing valuesMissing
pH_A has 1180 (86.1%) missing valuesMissing
pO2_A has 1181 (86.2%) missing valuesMissing
pCO2_A has 1181 (86.2%) missing valuesMissing
pH_V has 1184 (86.4%) missing valuesMissing
pO2_V has 1186 (86.6%) missing valuesMissing
pCO2_V has 1186 (86.6%) missing valuesMissing
macrosomia_rn has 683 (49.9%) missing valuesMissing
percentil_peso has 761 (55.5%) missing valuesMissing
malformaciones_rn has 517 (37.7%) missing valuesMissing
app has 527 (38.5%) missing valuesMissing
aborto_rn has 537 (39.2%) missing valuesMissing
obito_rn has 537 (39.2%) missing valuesMissing
mnt_rn has 542 (39.6%) missing valuesMissing
peso_placenta has 1060 (77.4%) missing valuesMissing
fur has 327 (23.9%) missing valuesMissing
fecha_encuesta has 531 (38.8%) missing valuesMissing
ano_gesta has 80 (5.8%) missing valuesMissing
muestra_gesta_estudio has 46 (3.4%) missing valuesMissing
fecha_muestra has 449 (32.8%) missing valuesMissing
sdg_muestra has 548 (40.0%) missing valuesMissing
ins_dx has 879 (64.2%) missing valuesMissing
gluc_dx has 629 (45.9%) missing valuesMissing
crea_dx has 1214 (88.6%) missing valuesMissing
urico_dx has 1222 (89.2%) missing valuesMissing
tg_dx has 632 (46.1%) missing valuesMissing
ct_dx has 629 (45.9%) missing valuesMissing
hdl_dx has 633 (46.2%) missing valuesMissing
ldl_dx has 633 (46.2%) missing valuesMissing
apob_dx has 1225 (89.4%) missing valuesMissing
lep_dx has 1148 (83.8%) missing valuesMissing
adipo_dx has 1101 (80.4%) missing valuesMissing
pcr_dx has 1226 (89.5%) missing valuesMissing
pgn_dx has 1217 (88.8%) missing valuesMissing
e2_dx has 1206 (88.0%) missing valuesMissing
ins_madre_parto has 1316 (96.1%) missing valuesMissing
gluc_madre_parto has 1314 (95.9%) missing valuesMissing
tg_madre_parto has 1314 (95.9%) missing valuesMissing
ct_madre_parto has 1314 (95.9%) missing valuesMissing
hdl_madre_parto has 1314 (95.9%) missing valuesMissing
ldl_madre_parto has 1314 (95.9%) missing valuesMissing
pgn_madre_parto has 1335 (97.4%) missing valuesMissing
e2_madre_parto has 1330 (97.1%) missing valuesMissing
lep_madre_parto has 1315 (96.0%) missing valuesMissing
adipo_madre_parto has 1316 (96.1%) missing valuesMissing
ins_cordon_parto has 1319 (96.3%) missing valuesMissing
gluc_cordon_parto has 1320 (96.4%) missing valuesMissing
tg_cordon_parto has 1320 (96.4%) missing valuesMissing
ct_cordon_parto has 1320 (96.4%) missing valuesMissing
hdl_cordon_parto has 1320 (96.4%) missing valuesMissing
ldl_cordon_parto has 1320 (96.4%) missing valuesMissing
pgn_cordon_parto has 1359 (99.2%) missing valuesMissing
e2_cordon_parto has 1330 (97.1%) missing valuesMissing
lep_cordon_parto has 1318 (96.2%) missing valuesMissing
adipo_cordon_parto has 1319 (96.3%) missing valuesMissing
ins_pp has 1111 (81.1%) missing valuesMissing
gluc_pp has 804 (58.7%) missing valuesMissing
crea_pp has 1168 (85.3%) missing valuesMissing
urico_pp has 1173 (85.6%) missing valuesMissing
tg_pp has 1068 (78.0%) missing valuesMissing
ct_pp has 1063 (77.6%) missing valuesMissing
hdl_pp has 1067 (77.9%) missing valuesMissing
ldl_pp has 1069 (78.0%) missing valuesMissing
apob_pp has 1184 (86.4%) missing valuesMissing
lep_pp has 1135 (82.8%) missing valuesMissing
adipo_pp has 1128 (82.3%) missing valuesMissing
pcr_pp has 1190 (86.9%) missing valuesMissing
pgn_pp has 1350 (98.5%) missing valuesMissing
e2_pp has 1363 (99.5%) missing valuesMissing
origen_px has 118 (8.6%) missing valuesMissing
origen_padre has 359 (26.2%) missing valuesMissing
origen_madre has 349 (25.5%) missing valuesMissing
origen_abos_pat has 367 (26.8%) missing valuesMissing
origen_abos_mat has 354 (25.8%) missing valuesMissing
tiene_pareja has 653 (47.7%) missing valuesMissing
paciente_trabaja has 710 (51.8%) missing valuesMissing
escolaridad has 674 (49.2%) missing valuesMissing
no_cuartos has 900 (65.7%) missing valuesMissing
no_banos has 901 (65.8%) missing valuesMissing
regadera has 901 (65.8%) missing valuesMissing
no_focos has 901 (65.8%) missing valuesMissing
piso_hogar has 901 (65.8%) missing valuesMissing
no_autos has 902 (65.8%) missing valuesMissing
no_tv has 902 (65.8%) missing valuesMissing
no_computador has 902 (65.8%) missing valuesMissing
estufa has 902 (65.8%) missing valuesMissing
estudio_max has 903 (65.9%) missing valuesMissing
puntos_ses has 902 (65.8%) missing valuesMissing
nivel_ses has 902 (65.8%) missing valuesMissing
ins_seg has 1362 (99.4%) missing valuesMissing
glu_seg has 1361 (99.3%) missing valuesMissing
tg_seg has 1361 (99.3%) missing valuesMissing
ct_seg has 1361 (99.3%) missing valuesMissing
hdl_seg has 1361 (99.3%) missing valuesMissing
ldl_seg has 1362 (99.4%) missing valuesMissing
Fecha_ev1 has 1124 (82.0%) missing valuesMissing
SDG_ev1 has 1125 (82.1%) missing valuesMissing
trimestre_ev1 has 1124 (82.0%) missing valuesMissing
Edad_ev1 has 1124 (82.0%) missing valuesMissing
Peso_pg has 1124 (82.0%) missing valuesMissing
Talla_ev1 has 1125 (82.1%) missing valuesMissing
IMC_pg has 1125 (82.1%) missing valuesMissing
Clasif_imc has 1125 (82.1%) missing valuesMissing
peso_1ertrim has 1134 (82.8%) missing valuesMissing
Ganancia_1ertrim has 1134 (82.8%) missing valuesMissing
Peso_2otrim has 1199 (87.5%) missing valuesMissing
Ganancia_2otrim has 1201 (87.7%) missing valuesMissing
Peso_3ertrim has 1327 (96.9%) missing valuesMissing
Ganancia_3ertrim has 1332 (97.2%) missing valuesMissing
Peso_actual has 1125 (82.1%) missing valuesMissing
GER has 1126 (82.2%) missing valuesMissing
Kcaltotales_cons1 has 1136 (82.9%) missing valuesMissing
Adecuacion_energia1 has 1130 (82.5%) missing valuesMissing
p_proteina1 has 1136 (82.9%) missing valuesMissing
p_HC1 has 1136 (82.9%) missing valuesMissing
p_lipidos1 has 1136 (82.9%) missing valuesMissing
Folato_R24Hmcg has 1136 (82.9%) missing valuesMissing
DFE_R24H has 1136 (82.9%) missing valuesMissing
AcFolR24H_kcal has 1136 (82.9%) missing valuesMissing
FFQ_plip has 1138 (83.1%) missing valuesMissing
FFQ_pHC has 1138 (83.1%) missing valuesMissing
FFQ_pProt has 1138 (83.1%) missing valuesMissing
FFQ_FOLATOmcg has 1138 (83.1%) missing valuesMissing
FFQ_DFE has 1138 (83.1%) missing valuesMissing
FFQ_energia has 1138 (83.1%) missing valuesMissing
AcFolico_supl has 1093 (79.8%) missing valuesMissing
AcFolico_marca has 1116 (81.5%) missing valuesMissing
AcFsup_dosis_mg has 1112 (81.2%) missing valuesMissing
supl_preconcep has 1095 (79.9%) missing valuesMissing
supl_1erTrim has 1096 (80.0%) missing valuesMissing
Multi0_acfol1 has 1106 (80.7%) missing valuesMissing
iniciosupl_sdg has 1099 (80.2%) missing valuesMissing
AcFolico_papa has 1093 (79.8%) missing valuesMissing
Ins_1av has 1341 (97.9%) missing valuesMissing
Gluc_1av has 1161 (84.7%) missing valuesMissing
Col_1av has 1161 (84.7%) missing valuesMissing
Tg_1av has 1161 (84.7%) missing valuesMissing
LDL_1av has 1163 (84.9%) missing valuesMissing
HDL_1av has 1162 (84.8%) missing valuesMissing
Pgn_1av has 1348 (98.4%) missing valuesMissing
E2_1av has 1348 (98.4%) missing valuesMissing
Lep_1av has 1350 (98.5%) missing valuesMissing
Adipo_1av has 1343 (98.0%) missing valuesMissing
Peso_1av has 1156 (84.4%) missing valuesMissing
Talla_1av has 1155 (84.3%) missing valuesMissing
CMB_1av has 1159 (84.6%) missing valuesMissing
PCT_1av has 1157 (84.5%) missing valuesMissing
Peso_actual2 has 1212 (88.5%) missing valuesMissing
GER2 has 1212 (88.5%) missing valuesMissing
Kcaltotales_cons2 has 1220 (89.1%) missing valuesMissing
p_proteina2 has 1220 (89.1%) missing valuesMissing
p_HC2 has 1220 (89.1%) missing valuesMissing
p_lipidos2 has 1220 (89.1%) missing valuesMissing
Folato_R24Hmcg2 has 1220 (89.1%) missing valuesMissing
DFE_R24H2 has 1220 (89.1%) missing valuesMissing
AcFolico_supl2 has 1215 (88.7%) missing valuesMissing
AcFolico_marca2 has 1216 (88.8%) missing valuesMissing
AcFsup_dosis_mg2 has 1216 (88.8%) missing valuesMissing
Multi0_acfol1_3 has 1215 (88.7%) missing valuesMissing
Peso_2av has 1211 (88.4%) missing valuesMissing
Talla_2av has 1165 (85.0%) missing valuesMissing
CMB_2av has 1216 (88.8%) missing valuesMissing
PCT_2av has 1216 (88.8%) missing valuesMissing
nvos has 1179 (86.1%) missing valuesMissing
ins_pp_nutri has 1133 (82.7%) missing valuesMissing
gluc_pp_nutri has 862 (62.9%) missing valuesMissing
peso_pg_h has 1188 (86.7%) missing valuesMissing
f_encCTOG has 1207 (88.1%) missing valuesMissing
fecha_muestraCTOG has 1207 (88.1%) missing valuesMissing
aborto_rn is highly skewed (γ1 = 28.86173938)Skewed
registro is an unsupported type, check if it needs cleaning or further analysisUnsupported
sdg_dx is an unsupported type, check if it needs cleaning or further analysisUnsupported
gluc_pp_60 is an unsupported type, check if it needs cleaning or further analysisUnsupported
ant_macrosomico is an unsupported type, check if it needs cleaning or further analysisUnsupported
sexo_rn is an unsupported type, check if it needs cleaning or further analysisUnsupported
peso_rn is an unsupported type, check if it needs cleaning or further analysisUnsupported
talla_rn is an unsupported type, check if it needs cleaning or further analysisUnsupported
pc is an unsupported type, check if it needs cleaning or further analysisUnsupported
capurro is an unsupported type, check if it needs cleaning or further analysisUnsupported
apgar_1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
apgar_5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
pH_A is an unsupported type, check if it needs cleaning or further analysisUnsupported
pO2_A is an unsupported type, check if it needs cleaning or further analysisUnsupported
pCO2_A is an unsupported type, check if it needs cleaning or further analysisUnsupported
pH_V is an unsupported type, check if it needs cleaning or further analysisUnsupported
pO2_V is an unsupported type, check if it needs cleaning or further analysisUnsupported
pCO2_V is an unsupported type, check if it needs cleaning or further analysisUnsupported
macrosomia_rn is an unsupported type, check if it needs cleaning or further analysisUnsupported
percentil_peso is an unsupported type, check if it needs cleaning or further analysisUnsupported
peso_placenta is an unsupported type, check if it needs cleaning or further analysisUnsupported
fur is an unsupported type, check if it needs cleaning or further analysisUnsupported
fecha_encuesta is an unsupported type, check if it needs cleaning or further analysisUnsupported
fecha_muestra is an unsupported type, check if it needs cleaning or further analysisUnsupported
ins_cordon_parto is an unsupported type, check if it needs cleaning or further analysisUnsupported
e2_cordon_parto is an unsupported type, check if it needs cleaning or further analysisUnsupported
lep_cordon_parto is an unsupported type, check if it needs cleaning or further analysisUnsupported
adipo_cordon_parto is an unsupported type, check if it needs cleaning or further analysisUnsupported
Fecha_ev1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
SDG_ev1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Folato_R24Hmcg is an unsupported type, check if it needs cleaning or further analysisUnsupported
FFQ_FOLATOmcg is an unsupported type, check if it needs cleaning or further analysisUnsupported
FFQ_DFE is an unsupported type, check if it needs cleaning or further analysisUnsupported
AcFolico_marca is an unsupported type, check if it needs cleaning or further analysisUnsupported
AcFsup_dosis_mg is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCT_1av is an unsupported type, check if it needs cleaning or further analysisUnsupported
DFE_R24H2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
f_encCTOG is an unsupported type, check if it needs cleaning or further analysisUnsupported
fecha_muestraCTOG is an unsupported type, check if it needs cleaning or further analysisUnsupported
hoja_datos has 261 (19.1%) zerosZeros
exclusion has 1130 (82.5%) zerosZeros
ev_1ertrim has 1125 (82.1%) zerosZeros
ev_dieta has 1090 (79.6%) zerosZeros
biopsias has 1124 (82.0%) zerosZeros
reiterativa has 1328 (96.9%) zerosZeros
estado has 631 (46.1%) zerosZeros
obs_h has 1040 (75.9%) zerosZeros
gluc_dx_180 has 106 (7.7%) zerosZeros
dx_inicio has 646 (47.2%) zerosZeros
gluc_pp_180 has 47 (3.4%) zerosZeros
dx_pp has 315 (23.0%) zerosZeros
ichos_pregesta has 1082 (79.0%) zerosZeros
hta_pregesta has 1103 (80.5%) zerosZeros
sop has 1113 (81.2%) zerosZeros
hipotiroidismo has 1086 (79.3%) zerosZeros
hipertiroidismo has 1099 (80.2%) zerosZeros
consumo_alcohol has 538 (39.3%) zerosZeros
consumo_tabaco has 531 (38.8%) zerosZeros
anticonceptivo has 365 (26.6%) zerosZeros
ah_dm has 349 (25.5%) zerosZeros
ah_hta has 636 (46.4%) zerosZeros
ah_ob has 1123 (82.0%) zerosZeros
ah_dg has 1211 (88.4%) zerosZeros
ant_dg has 1066 (77.8%) zerosZeros
ant_aborto has 841 (61.4%) zerosZeros
ant_obito has 1190 (86.9%) zerosZeros
ant_mnt has 1190 (86.9%) zerosZeros
ant_malformado has 1079 (78.8%) zerosZeros
cesarea_iter has 1220 (89.1%) zerosZeros
ema has 858 (62.6%) zerosZeros
alta_paridad has 749 (54.7%) zerosZeros
estatura_baja has 1121 (81.8%) zerosZeros
pgr has 1093 (79.8%) zerosZeros
infeccion_pregesta has 832 (60.7%) zerosZeros
embarazo_multiple has 1221 (89.1%) zerosZeros
preeclampsia has 1090 (79.6%) zerosZeros
polihidramnios has 1079 (78.8%) zerosZeros
hidramnios has 1080 (78.8%) zerosZeros
infeccion_gesta has 936 (68.3%) zerosZeros
ac_fol_pregesta has 353 (25.8%) zerosZeros
sdg_fol has 86 (6.3%) zerosZeros
trim_fol has 58 (4.2%) zerosZeros
tx_ins has 993 (72.5%) zerosZeros
modo_parto has 182 (13.3%) zerosZeros
malformaciones_rn has 827 (60.4%) zerosZeros
app has 651 (47.5%) zerosZeros
aborto_rn has 832 (60.7%) zerosZeros
obito_rn has 828 (60.4%) zerosZeros
mnt_rn has 825 (60.2%) zerosZeros
muestra_gesta_estudio has 231 (16.9%) zerosZeros
tiene_pareja has 58 (4.2%) zerosZeros
paciente_trabaja has 312 (22.8%) zerosZeros
no_cuartos has 252 (18.4%) zerosZeros
no_banos has 37 (2.7%) zerosZeros
regadera has 96 (7.0%) zerosZeros
no_focos has 168 (12.3%) zerosZeros
piso_hogar has 236 (17.2%) zerosZeros
no_autos has 318 (23.2%) zerosZeros
no_tv has 25 (1.8%) zerosZeros
no_computador has 225 (16.4%) zerosZeros
estufa has 40 (2.9%) zerosZeros
estudio_max has 34 (2.5%) zerosZeros
supl_preconcep has 215 (15.7%) zerosZeros
supl_1erTrim has 44 (3.2%) zerosZeros
Multi0_acfol1 has 152 (11.1%) zerosZeros
iniciosupl_sdg has 59 (4.3%) zerosZeros
AcFolico_papa has 263 (19.2%) zerosZeros
Multi0_acfol1_3 has 106 (7.7%) zerosZeros

Reproduction

Analysis started2024-05-04 22:20:24.340602
Analysis finished2024-05-04 22:20:26.839896
Duration2.5 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

no
Real number (ℝ)

Distinct1368
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean683.5389781
Minimum1
Maximum1367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:27.066614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile68.45
Q1341.25
median683.5
Q31025.75
95-th percentile1297.55
Maximum1367
Range1366
Interquartile range (IQR)684.5

Descriptive statistics

Standard deviation395.1763402
Coefficient of variation (CV)0.578132854
Kurtosis-1.203079225
Mean683.5389781
Median Absolute Deviation (MAD)342.5
Skewness0.0004307751224
Sum936448.4
Variance156164.3399
MonotonicityNot monotonic
2024-05-04T15:20:27.310410image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1255 2
 
0.1%
1251 2
 
0.1%
1 1
 
0.1%
908 1
 
0.1%
914 1
 
0.1%
913 1
 
0.1%
912 1
 
0.1%
911 1
 
0.1%
910 1
 
0.1%
909 1
 
0.1%
Other values (1358) 1358
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1367 1
0.1%
1366 1
0.1%
1365 1
0.1%
1364 1
0.1%
1363 1
0.1%

id_gdg
Text

MISSING 

Distinct1183
Distinct (%)99.6%
Missing182
Missing (%)13.3%
Memory size53.7 KiB
2024-05-04T15:20:27.673318image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters8316
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1178 ?
Unique (%)99.2%

Sample

1st rowDG37D44
2nd rowDG28M97
3rd rowDG73R77
4th rowDG63E13
5th rowDG61O38
ValueCountFrequency (%)
dg89f75 2
 
0.2%
dg33s78 2
 
0.2%
dg52j82 2
 
0.2%
dg09d28 2
 
0.2%
dg42c76 2
 
0.2%
dg52r23 1
 
0.1%
dg63e13 1
 
0.1%
dg61o38 1
 
0.1%
dg58d33 1
 
0.1%
dg59k63 1
 
0.1%
Other values (1173) 1173
98.7%
2024-05-04T15:20:28.270806image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
G 1240
14.9%
D 1236
14.9%
5 517
 
6.2%
8 498
 
6.0%
7 492
 
5.9%
6 490
 
5.9%
1 482
 
5.8%
2 464
 
5.6%
4 456
 
5.5%
0 456
 
5.5%
Other values (26) 1985
23.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8316
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
G 1240
14.9%
D 1236
14.9%
5 517
 
6.2%
8 498
 
6.0%
7 492
 
5.9%
6 490
 
5.9%
1 482
 
5.8%
2 464
 
5.6%
4 456
 
5.5%
0 456
 
5.5%
Other values (26) 1985
23.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8316
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
G 1240
14.9%
D 1236
14.9%
5 517
 
6.2%
8 498
 
6.0%
7 492
 
5.9%
6 490
 
5.9%
1 482
 
5.8%
2 464
 
5.6%
4 456
 
5.5%
0 456
 
5.5%
Other values (26) 1985
23.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8316
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
G 1240
14.9%
D 1236
14.9%
5 517
 
6.2%
8 498
 
6.0%
7 492
 
5.9%
6 490
 
5.9%
1 482
 
5.8%
2 464
 
5.6%
4 456
 
5.5%
0 456
 
5.5%
Other values (26) 1985
23.9%

id
Text

Distinct1367
Distinct (%)99.9%
Missing1
Missing (%)0.1%
Memory size53.7 KiB
2024-05-04T15:20:28.744401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.817384953
Min length4

Characters and Unicode

Total characters6595
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1365 ?
Unique (%)99.7%

Sample

1st rowGD01
2nd rowGD04
3rd rowGD05
4th rowGD06
5th rowGD07
ValueCountFrequency (%)
gd183 2
 
0.1%
gd073 2
 
0.1%
gc93 1
 
0.1%
gd017 1
 
0.1%
gd07 1
 
0.1%
gd09 1
 
0.1%
gd010 1
 
0.1%
gd011 1
 
0.1%
gd012 1
 
0.1%
gd013 1
 
0.1%
Other values (1357) 1357
99.1%
2024-05-04T15:20:29.508024image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
G 840
12.7%
1 746
11.3%
0 650
9.9%
2 628
 
9.5%
H 598
 
9.1%
C 392
 
5.9%
3 295
 
4.5%
N 292
 
4.4%
D 291
 
4.4%
5 284
 
4.3%
Other values (9) 1579
23.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6595
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
G 840
12.7%
1 746
11.3%
0 650
9.9%
2 628
 
9.5%
H 598
 
9.1%
C 392
 
5.9%
3 295
 
4.5%
N 292
 
4.4%
D 291
 
4.4%
5 284
 
4.3%
Other values (9) 1579
23.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6595
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
G 840
12.7%
1 746
11.3%
0 650
9.9%
2 628
 
9.5%
H 598
 
9.1%
C 392
 
5.9%
3 295
 
4.5%
N 292
 
4.4%
D 291
 
4.4%
5 284
 
4.3%
Other values (9) 1579
23.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6595
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
G 840
12.7%
1 746
11.3%
0 650
9.9%
2 628
 
9.5%
H 598
 
9.1%
C 392
 
5.9%
3 295
 
4.5%
N 292
 
4.4%
D 291
 
4.4%
5 284
 
4.3%
Other values (9) 1579
23.9%

registro
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing199
Missing (%)14.5%
Memory size53.7 KiB

hoja_datos
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.1%
Missing35
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean0.804494382
Minimum0
Maximum1
Zeros261
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:29.679714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.396738043
Coefficient of variation (CV)0.4931520367
Kurtosis0.3638114681
Mean0.804494382
Median Absolute Deviation (MAD)0
Skewness-1.537292645
Sum1074
Variance0.1574010747
MonotonicityNot monotonic
2024-05-04T15:20:29.814484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1074
78.4%
0 261
 
19.1%
(Missing) 35
 
2.6%
ValueCountFrequency (%)
0 261
 
19.1%
1 1074
78.4%
ValueCountFrequency (%)
1 1074
78.4%
0 261
 
19.1%

exclusion
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.1%
Missing35
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean0.1535580524
Minimum0
Maximum1
Zeros1130
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:29.947399image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3606596896
Coefficient of variation (CV)2.348686272
Kurtosis1.704479195
Mean0.1535580524
Median Absolute Deviation (MAD)0
Skewness1.924039478
Sum205
Variance0.1300754117
MonotonicityNot monotonic
2024-05-04T15:20:30.079994image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1130
82.5%
1 205
 
15.0%
(Missing) 35
 
2.6%
ValueCountFrequency (%)
0 1130
82.5%
1 205
 
15.0%
ValueCountFrequency (%)
1 205
 
15.0%
0 1130
82.5%

ev_1ertrim
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.2%
Missing35
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean0.1588014981
Minimum0
Maximum2
Zeros1125
Zeros (%)82.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:30.209366image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3697055865
Coefficient of variation (CV)2.328098858
Kurtosis2.146381094
Mean0.1588014981
Median Absolute Deviation (MAD)0
Skewness1.957972078
Sum212
Variance0.1366822207
MonotonicityNot monotonic
2024-05-04T15:20:30.349741image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 1125
82.1%
1 208
 
15.2%
2 2
 
0.1%
(Missing) 35
 
2.6%
ValueCountFrequency (%)
0 1125
82.1%
1 208
 
15.2%
2 2
 
0.1%
ValueCountFrequency (%)
2 2
 
0.1%
1 208
 
15.2%
0 1125
82.1%

ev_dieta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.1%
Missing35
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean0.1835205993
Minimum0
Maximum1
Zeros1090
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:30.485628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3872377995
Coefficient of variation (CV)2.110050866
Kurtosis0.6807883486
Mean0.1835205993
Median Absolute Deviation (MAD)0
Skewness1.637000515
Sum245
Variance0.1499531133
MonotonicityNot monotonic
2024-05-04T15:20:30.620010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1090
79.6%
1 245
 
17.9%
(Missing) 35
 
2.6%
ValueCountFrequency (%)
0 1090
79.6%
1 245
 
17.9%
ValueCountFrequency (%)
1 245
 
17.9%
0 1090
79.6%

biopsias
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing142
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean0.08469055375
Minimum0
Maximum1
Zeros1124
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:30.762540image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2785340926
Coefficient of variation (CV)3.288844863
Kurtosis6.933298895
Mean0.08469055375
Median Absolute Deviation (MAD)0
Skewness2.986973304
Sum104
Variance0.07758124076
MonotonicityNot monotonic
2024-05-04T15:20:30.917045image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1124
82.0%
1 104
 
7.6%
(Missing) 142
 
10.4%
ValueCountFrequency (%)
0 1124
82.0%
1 104
 
7.6%
ValueCountFrequency (%)
1 104
 
7.6%
0 1124
82.0%

reiterativa
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.1%
Missing35
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean0.005243445693
Minimum0
Maximum1
Zeros1328
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:31.058625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0722486123
Coefficient of variation (CV)13.77884249
Kurtosis186.421524
Mean0.005243445693
Median Absolute Deviation (MAD)0
Skewness13.71649528
Sum7
Variance0.005219861979
MonotonicityNot monotonic
2024-05-04T15:20:31.221799image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1328
96.9%
1 7
 
0.5%
(Missing) 35
 
2.6%
ValueCountFrequency (%)
0 1328
96.9%
1 7
 
0.5%
ValueCountFrequency (%)
1 7
 
0.5%
0 1328
96.9%

comentario
Text

MISSING 

Distinct195
Distinct (%)57.0%
Missing1028
Missing (%)75.0%
Memory size53.7 KiB
2024-05-04T15:20:31.473693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length64
Median length51
Mean length20.23099415
Min length1

Characters and Unicode

Total characters6919
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)46.5%

Sample

1st rowDMT2
2nd rowIMC_h demasiado alto
3rd rowAnalizar gesta en no.62.2
4th rowrevisar sexo bebe
5th rowrevisar sexo bebe
ValueCountFrequency (%)
ctog 83
 
8.8%
en 47
 
5.0%
de 45
 
4.7%
dx 38
 
4.0%
sop 31
 
3.3%
postparto 22
 
2.3%
sin 21
 
2.2%
pp 21
 
2.2%
ichos 19
 
2.0%
primigesta 18
 
1.9%
Other values (255) 603
63.6%
2024-05-04T15:20:31.983829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
632
 
9.1%
a 502
 
7.3%
e 474
 
6.9%
o 427
 
6.2%
r 280
 
4.0%
i 278
 
4.0%
t 260
 
3.8%
n 248
 
3.6%
d 237
 
3.4%
s 231
 
3.3%
Other values (68) 3350
48.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6919
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
632
 
9.1%
a 502
 
7.3%
e 474
 
6.9%
o 427
 
6.2%
r 280
 
4.0%
i 278
 
4.0%
t 260
 
3.8%
n 248
 
3.6%
d 237
 
3.4%
s 231
 
3.3%
Other values (68) 3350
48.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6919
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
632
 
9.1%
a 502
 
7.3%
e 474
 
6.9%
o 427
 
6.2%
r 280
 
4.0%
i 278
 
4.0%
t 260
 
3.8%
n 248
 
3.6%
d 237
 
3.4%
s 231
 
3.3%
Other values (68) 3350
48.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6919
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
632
 
9.1%
a 502
 
7.3%
e 474
 
6.9%
o 427
 
6.2%
r 280
 
4.0%
i 278
 
4.0%
t 260
 
3.8%
n 248
 
3.6%
d 237
 
3.4%
s 231
 
3.3%
Other values (68) 3350
48.4%

hospital_ref
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)0.4%
Missing35
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean2.179026217
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:32.147841image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.194757644
Coefficient of variation (CV)0.5482988844
Kurtosis-0.6085615963
Mean2.179026217
Median Absolute Deviation (MAD)1
Skewness0.6553027678
Sum2909
Variance1.427445828
MonotonicityNot monotonic
2024-05-04T15:20:32.305510image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 533
38.9%
3 307
22.4%
2 292
21.3%
4 144
 
10.5%
5 59
 
4.3%
(Missing) 35
 
2.6%
ValueCountFrequency (%)
1 533
38.9%
2 292
21.3%
3 307
22.4%
4 144
 
10.5%
5 59
 
4.3%
ValueCountFrequency (%)
5 59
 
4.3%
4 144
 
10.5%
3 307
22.4%
2 292
21.3%
1 533
38.9%

estado
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.2%
Missing120
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean0.5808
Minimum0
Maximum2
Zeros631
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:32.782843image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6442075463
Coefficient of variation (CV)1.109172773
Kurtosis-0.570386359
Mean0.5808
Median Absolute Deviation (MAD)0
Skewness0.6597357602
Sum726
Variance0.4150033627
MonotonicityNot monotonic
2024-05-04T15:20:32.932305image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 631
46.1%
1 512
37.4%
2 107
 
7.8%
(Missing) 120
 
8.8%
ValueCountFrequency (%)
0 631
46.1%
1 512
37.4%
2 107
 
7.8%
ValueCountFrequency (%)
2 107
 
7.8%
1 512
37.4%
0 631
46.1%

edad_dx
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)2.5%
Missing56
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean30.90943683
Minimum15
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:33.098398image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile19
Q126
median32
Q336
95-th percentile41
Maximum48
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.832353423
Coefficient of variation (CV)0.2210442545
Kurtosis-0.8341439616
Mean30.90943683
Median Absolute Deviation (MAD)5
Skewness-0.1923732933
Sum40615
Variance46.6810533
MonotonicityNot monotonic
2024-05-04T15:20:33.269310image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
36 75
 
5.5%
32 74
 
5.4%
35 69
 
5.0%
27 66
 
4.8%
37 65
 
4.7%
33 64
 
4.7%
29 62
 
4.5%
30 61
 
4.5%
38 61
 
4.5%
34 61
 
4.5%
Other values (23) 656
47.9%
ValueCountFrequency (%)
15 5
 
0.4%
16 3
 
0.2%
17 8
 
0.6%
18 34
2.5%
19 26
1.9%
ValueCountFrequency (%)
48 1
 
0.1%
46 2
 
0.1%
45 1
 
0.1%
44 12
0.9%
43 15
1.1%

peso_h
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)11.7%
Missing315
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean64.2436872
Minimum35
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:33.450927image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile47
Q155.25
median62
Q370
95-th percentile88
Maximum140
Range105
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation12.98124128
Coefficient of variation (CV)0.2020625192
Kurtosis2.218345101
Mean64.2436872
Median Absolute Deviation (MAD)8
Skewness1.063418591
Sum67777.09
Variance168.5126252
MonotonicityNot monotonic
2024-05-04T15:20:33.645099image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 90
 
6.6%
65 57
 
4.2%
58 43
 
3.1%
70 43
 
3.1%
50 38
 
2.8%
63 32
 
2.3%
68 31
 
2.3%
64 30
 
2.2%
54 30
 
2.2%
55 29
 
2.1%
Other values (113) 632
46.1%
(Missing) 315
23.0%
ValueCountFrequency (%)
35 1
 
0.1%
38 1
 
0.1%
40 6
0.4%
41 2
 
0.1%
42 5
0.4%
ValueCountFrequency (%)
140 1
0.1%
127 1
0.1%
118 1
0.1%
115 1
0.1%
112 2
0.1%

talla
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)4.5%
Missing78
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean1.562417183
Minimum1.25
Maximum1.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:33.831765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.25
5-th percentile1.46
Q11.52
median1.56
Q31.6
95-th percentile1.66
Maximum1.75
Range0.5
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.06130812668
Coefficient of variation (CV)0.03923928088
Kurtosis0.425836779
Mean1.562417183
Median Absolute Deviation (MAD)0.04
Skewness-0.1362862931
Sum2018.643
Variance0.003758686397
MonotonicityNot monotonic
2024-05-04T15:20:34.012018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.55 93
 
6.8%
1.56 90
 
6.6%
1.6 90
 
6.6%
1.54 85
 
6.2%
1.58 83
 
6.1%
1.52 75
 
5.5%
1.57 75
 
5.5%
1.62 66
 
4.8%
1.59 63
 
4.6%
1.53 61
 
4.5%
Other values (48) 511
37.3%
(Missing) 78
 
5.7%
ValueCountFrequency (%)
1.25 1
0.1%
1.34 1
0.1%
1.37 1
0.1%
1.39 1
0.1%
1.4 2
0.1%
ValueCountFrequency (%)
1.75 1
 
0.1%
1.74 2
0.1%
1.73 2
0.1%
1.72 4
0.3%
1.71 3
0.2%

imc_h
Real number (ℝ)

MISSING 

Distinct748
Distinct (%)61.1%
Missing145
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean26.32295921
Minimum16.56065339
Maximum60.59556787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:34.192800image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum16.56065339
5-th percentile19.46935039
Q122.82688093
median25.47666009
Q328.95900015
95-th percentile36.04236427
Maximum60.59556787
Range44.03491447
Interquartile range (IQR)6.132119217

Descriptive statistics

Standard deviation5.13791167
Coefficient of variation (CV)0.1951874646
Kurtosis2.460341095
Mean26.32295921
Median Absolute Deviation (MAD)3.000073203
Skewness1.093362096
Sum32245.62503
Variance26.39813633
MonotonicityNot monotonic
2024-05-04T15:20:34.377765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.65483235 10
 
0.7%
24.97398543 10
 
0.7%
23.80540166 9
 
0.7%
24.03460984 8
 
0.6%
24.34175829 8
 
0.6%
28.398718 8
 
0.6%
25.47666009 8
 
0.6%
23.4375 8
 
0.6%
29.13631634 8
 
0.6%
26.70940171 7
 
0.5%
Other values (738) 1141
83.3%
(Missing) 145
 
10.6%
ValueCountFrequency (%)
16.56065339 1
0.1%
16.64684899 1
0.1%
16.796875 1
0.1%
16.88872209 1
0.1%
17.05617651 1
0.1%
ValueCountFrequency (%)
60.59556787 1
0.1%
49.609375 1
0.1%
47.87212463 1
0.1%
45.9438764 1
0.1%
45.48870693 1
0.1%

obs_h
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing80
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean0.1937984496
Minimum0
Maximum1
Zeros1040
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:34.523377image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3954261262
Coefficient of variation (CV)2.040398811
Kurtosis0.40660646
Mean0.1937984496
Median Absolute Deviation (MAD)0
Skewness1.55112168
Sum250
Variance0.1563618213
MonotonicityNot monotonic
2024-05-04T15:20:34.655647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1040
75.9%
1 250
 
18.2%
(Missing) 80
 
5.8%
ValueCountFrequency (%)
0 1040
75.9%
1 250
 
18.2%
ValueCountFrequency (%)
1 250
 
18.2%
0 1040
75.9%

peso_1
Real number (ℝ)

MISSING 

Distinct234
Distinct (%)38.4%
Missing760
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean64.58439344
Minimum37.5
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:34.822758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum37.5
5-th percentile47
Q155.825
median63
Q371.65
95-th percentile88
Maximum119
Range81.5
Interquartile range (IQR)15.825

Descriptive statistics

Standard deviation12.57627173
Coefficient of variation (CV)0.1947261723
Kurtosis1.247481667
Mean64.58439344
Median Absolute Deviation (MAD)7.5
Skewness0.8769525903
Sum39396.48
Variance158.1626106
MonotonicityNot monotonic
2024-05-04T15:20:35.026828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 22
 
1.6%
65 16
 
1.2%
58 15
 
1.1%
72 14
 
1.0%
63 12
 
0.9%
64 12
 
0.9%
56 12
 
0.9%
67 11
 
0.8%
52 10
 
0.7%
61 10
 
0.7%
Other values (224) 476
34.7%
(Missing) 760
55.5%
ValueCountFrequency (%)
37.5 1
0.1%
38 1
0.1%
40 1
0.1%
41 1
0.1%
41.2 1
0.1%
ValueCountFrequency (%)
119 1
0.1%
113 1
0.1%
108 2
0.1%
106 1
0.1%
105.5 1
0.1%

peso_2
Real number (ℝ)

MISSING 

Distinct265
Distinct (%)33.5%
Missing580
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean68.96329114
Minimum42.5
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:35.223815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum42.5
5-th percentile51.69
Q160.5
median67.5
Q375
95-th percentile91.275
Maximum126
Range83.5
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation12.40257728
Coefficient of variation (CV)0.1798431757
Kurtosis1.533230177
Mean68.96329114
Median Absolute Deviation (MAD)7.5
Skewness0.9211888017
Sum54481
Variance153.8239232
MonotonicityNot monotonic
2024-05-04T15:20:35.403138image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 23
 
1.7%
69 18
 
1.3%
65 16
 
1.2%
64 16
 
1.2%
72 15
 
1.1%
73 15
 
1.1%
62 15
 
1.1%
61 14
 
1.0%
68 14
 
1.0%
66 13
 
0.9%
Other values (255) 631
46.1%
(Missing) 580
42.3%
ValueCountFrequency (%)
42.5 1
 
0.1%
43.8 1
 
0.1%
45 3
0.2%
47 2
0.1%
47.2 1
 
0.1%
ValueCountFrequency (%)
126 1
0.1%
120 1
0.1%
117 1
0.1%
116.2 1
0.1%
114.7 1
0.1%

peso_3
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)40.6%
Missing887
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean72.55403727
Minimum45
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:35.610815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile55.02
Q164
median71.5
Q379.35
95-th percentile94
Maximum114
Range69
Interquartile range (IQR)15.35

Descriptive statistics

Standard deviation11.68582853
Coefficient of variation (CV)0.1610637942
Kurtosis0.3698016019
Mean72.55403727
Median Absolute Deviation (MAD)7.5
Skewness0.5785853657
Sum35043.6
Variance136.5585884
MonotonicityNot monotonic
2024-05-04T15:20:35.813004image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 14
 
1.0%
72 14
 
1.0%
64 13
 
0.9%
75 13
 
0.9%
65 12
 
0.9%
63 11
 
0.8%
80 11
 
0.8%
60 10
 
0.7%
71 10
 
0.7%
57 9
 
0.7%
Other values (186) 366
26.7%
(Missing) 887
64.7%
ValueCountFrequency (%)
45 1
0.1%
48 1
0.1%
49 1
0.1%
50 2
0.1%
51.5 1
0.1%
ValueCountFrequency (%)
114 1
0.1%
108.5 1
0.1%
108 2
0.1%
107 1
0.1%
104.4 1
0.1%

ganancia_peso
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)25.7%
Missing935
Missing (%)68.2%
Infinite0
Infinite (%)0.0%
Mean10.40131034
Minimum-5.5
Maximum112
Zeros7
Zeros (%)0.5%
Negative2
Negative (%)0.1%
Memory size53.7 KiB
2024-05-04T15:20:36.036104image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-5.5
5-th percentile2.2
Q16.5
median10
Q313.1
95-th percentile18
Maximum112
Range117.5
Interquartile range (IQR)6.6

Descriptive statistics

Standard deviation6.969527841
Coefficient of variation (CV)0.6700624835
Kurtosis103.2772631
Mean10.40131034
Median Absolute Deviation (MAD)3.3
Skewness7.152900159
Sum4524.57
Variance48.57431833
MonotonicityNot monotonic
2024-05-04T15:20:36.244279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 31
 
2.3%
13 24
 
1.8%
6 22
 
1.6%
8 22
 
1.6%
12 20
 
1.5%
9 19
 
1.4%
16 14
 
1.0%
11 14
 
1.0%
4 14
 
1.0%
15 13
 
0.9%
Other values (102) 242
 
17.7%
(Missing) 935
68.2%
ValueCountFrequency (%)
-5.5 1
 
0.1%
-5 1
 
0.1%
0 7
0.5%
0.3 1
 
0.1%
1 2
 
0.1%
ValueCountFrequency (%)
112 1
0.1%
26 1
0.1%
25.8 1
0.1%
24 1
0.1%
22 2
0.1%

pas
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)3.0%
Missing332
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean107.9990366
Minimum80
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:36.435113image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile90
Q1100
median110
Q3110
95-th percentile130
Maximum160
Range80
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.71408827
Coefficient of variation (CV)0.1084647478
Kurtosis1.475970964
Mean107.9990366
Median Absolute Deviation (MAD)10
Skewness0.612945809
Sum112103
Variance137.2198641
MonotonicityNot monotonic
2024-05-04T15:20:36.608834image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
110 372
27.2%
100 273
19.9%
120 169
12.3%
90 115
 
8.4%
130 37
 
2.7%
140 12
 
0.9%
115 11
 
0.8%
80 7
 
0.5%
95 5
 
0.4%
105 5
 
0.4%
Other values (21) 32
 
2.3%
(Missing) 332
24.2%
ValueCountFrequency (%)
80 7
 
0.5%
85 4
 
0.3%
90 115
8.4%
95 5
 
0.4%
98 1
 
0.1%
ValueCountFrequency (%)
160 3
 
0.2%
154 1
 
0.1%
150 5
0.4%
140 12
0.9%
134 1
 
0.1%

pad
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)2.3%
Missing332
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean69.3699422
Minimum40
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:36.792910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile60
Q160
median70
Q370
95-th percentile80
Maximum100
Range60
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.832085268
Coefficient of variation (CV)0.1273186194
Kurtosis0.5007471733
Mean69.3699422
Median Absolute Deviation (MAD)10
Skewness0.5371766007
Sum72006
Variance78.00573018
MonotonicityNot monotonic
2024-05-04T15:20:36.960345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
70 435
31.8%
60 322
23.5%
80 191
13.9%
90 27
 
2.0%
50 15
 
1.1%
100 9
 
0.7%
75 7
 
0.5%
65 6
 
0.4%
85 4
 
0.3%
78 3
 
0.2%
Other values (14) 19
 
1.4%
(Missing) 332
24.2%
ValueCountFrequency (%)
40 1
 
0.1%
50 15
 
1.1%
55 2
 
0.1%
57 1
 
0.1%
60 322
23.5%
ValueCountFrequency (%)
100 9
 
0.7%
96 1
 
0.1%
94 1
 
0.1%
90 27
2.0%
87 1
 
0.1%

sdg_tamiz
Real number (ℝ)

MISSING 

Distinct195
Distinct (%)45.1%
Missing938
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean20.93324074
Minimum0
Maximum38
Zeros6
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:37.148104image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.055
Q116.185
median20.65
Q325.4
95-th percentile32.09
Maximum38
Range38
Interquartile range (IQR)9.215

Descriptive statistics

Standard deviation6.514182718
Coefficient of variation (CV)0.311188449
Kurtosis0.3645598212
Mean20.93324074
Median Absolute Deviation (MAD)4.51
Skewness-0.06995170124
Sum9043.16
Variance42.43457648
MonotonicityNot monotonic
2024-05-04T15:20:37.343743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 14
 
1.0%
22 14
 
1.0%
17 13
 
0.9%
21 12
 
0.9%
16 11
 
0.8%
20 11
 
0.8%
24 10
 
0.7%
18 10
 
0.7%
25 10
 
0.7%
14 10
 
0.7%
Other values (185) 317
 
23.1%
(Missing) 938
68.5%
ValueCountFrequency (%)
0 6
0.4%
8.14 1
 
0.1%
8.71 2
 
0.1%
9.4 1
 
0.1%
9.71 1
 
0.1%
ValueCountFrequency (%)
38 1
0.1%
37.4 1
0.1%
35.57 1
0.1%
35.4 1
0.1%
35 1
0.1%

tam_0
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)14.1%
Missing930
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean86.56840909
Minimum0
Maximum123
Zeros6
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:37.536503image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile71
Q181
median87
Q394
95-th percentile104.05
Maximum123
Range123
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.09431063
Coefficient of variation (CV)0.1628112469
Kurtosis17.56301976
Mean86.56840909
Median Absolute Deviation (MAD)6
Skewness-2.969995848
Sum38090.1
Variance198.649592
MonotonicityNot monotonic
2024-05-04T15:20:37.746291image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86 25
 
1.8%
88 23
 
1.7%
91 22
 
1.6%
84 19
 
1.4%
93 18
 
1.3%
80 18
 
1.3%
82 18
 
1.3%
85 18
 
1.3%
94 16
 
1.2%
83 16
 
1.2%
Other values (52) 247
 
18.0%
(Missing) 930
67.9%
ValueCountFrequency (%)
0 6
0.4%
60 1
 
0.1%
62 1
 
0.1%
66 3
0.2%
67 3
0.2%
ValueCountFrequency (%)
123 1
0.1%
121 1
0.1%
116 1
0.1%
115 1
0.1%
114 1
0.1%

tam_120
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)31.2%
Missing921
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean146.6002227
Minimum0
Maximum288
Zeros6
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:37.936709image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile84.4
Q1133
median148
Q3169
95-th percentile196
Maximum288
Range288
Interquartile range (IQR)36

Descriptive statistics

Standard deviation35.99062719
Coefficient of variation (CV)0.2455018589
Kurtosis3.193960434
Mean146.6002227
Median Absolute Deviation (MAD)18
Skewness-0.8951379177
Sum65823.5
Variance1295.325245
MonotonicityNot monotonic
2024-05-04T15:20:38.133734image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
162 13
 
0.9%
140 10
 
0.7%
138 9
 
0.7%
143 9
 
0.7%
136 9
 
0.7%
145 9
 
0.7%
171 9
 
0.7%
168 9
 
0.7%
133 9
 
0.7%
175 8
 
0.6%
Other values (130) 355
 
25.9%
(Missing) 921
67.2%
ValueCountFrequency (%)
0 6
0.4%
50 1
 
0.1%
58 1
 
0.1%
62 1
 
0.1%
65 1
 
0.1%
ValueCountFrequency (%)
288 1
0.1%
250 1
0.1%
243 1
0.1%
236 1
0.1%
218 1
0.1%

tipo_dx
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.2%
Missing129
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean1.344077357
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:38.297465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7470797819
Coefficient of variation (CV)0.5558309408
Kurtosis1.066531157
Mean1.344077357
Median Absolute Deviation (MAD)0
Skewness1.73973865
Sum1668
Variance0.5581282005
MonotonicityNot monotonic
2024-05-04T15:20:38.453182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1020
74.5%
3 206
 
15.0%
2 15
 
1.1%
(Missing) 129
 
9.4%
ValueCountFrequency (%)
1 1020
74.5%
2 15
 
1.1%
3 206
 
15.0%
ValueCountFrequency (%)
3 206
 
15.0%
2 15
 
1.1%
1 1020
74.5%

sdg_dx
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)17.1%
Memory size53.7 KiB

sdg_dx_num
Real number (ℝ)

MISSING 

Distinct302
Distinct (%)26.6%
Missing234
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean26.27658451
Minimum7.42
Maximum38.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:38.647940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.42
5-th percentile17.5
Q124
median26.17
Q329
95-th percentile34
Maximum38.28
Range30.86
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.6620237
Coefficient of variation (CV)0.1774212207
Kurtosis0.6949574871
Mean26.27658451
Median Absolute Deviation (MAD)2.17
Skewness-0.4308458482
Sum29850.2
Variance21.73446498
MonotonicityNot monotonic
2024-05-04T15:20:38.830580image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 63
 
4.6%
25 57
 
4.2%
24 56
 
4.1%
28 51
 
3.7%
27 46
 
3.4%
30 28
 
2.0%
29 22
 
1.6%
22 15
 
1.1%
23 14
 
1.0%
31 14
 
1.0%
Other values (292) 770
56.2%
(Missing) 234
 
17.1%
ValueCountFrequency (%)
7.42 1
0.1%
9.57 1
0.1%
9.71 1
0.1%
9.85 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
38.28 1
0.1%
37.28 1
0.1%
37 2
0.1%
36.42 1
0.1%
36.2 1
0.1%

gluc_dx_0
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)6.9%
Missing120
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean87.14368
Minimum48
Maximum239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:39.039695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile71
Q178
median85
Q393
95-th percentile109
Maximum239
Range191
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.65214169
Coefficient of variation (CV)0.1566624418
Kurtosis17.6991483
Mean87.14368
Median Absolute Deviation (MAD)7
Skewness2.603062537
Sum108929.6
Variance186.3809728
MonotonicityNot monotonic
2024-05-04T15:20:39.612346image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81 54
 
3.9%
84 54
 
3.9%
80 49
 
3.6%
88 47
 
3.4%
85 46
 
3.4%
86 46
 
3.4%
77 44
 
3.2%
78 43
 
3.1%
76 43
 
3.1%
83 40
 
2.9%
Other values (76) 784
57.2%
(Missing) 120
 
8.8%
ValueCountFrequency (%)
48 1
0.1%
61 1
0.1%
62 1
0.1%
63 1
0.1%
64 2
0.1%
ValueCountFrequency (%)
239 1
0.1%
182 1
0.1%
176 1
0.1%
167 1
0.1%
162 1
0.1%

gluc_dx_60
Real number (ℝ)

MISSING 

Distinct212
Distinct (%)17.0%
Missing121
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean155.9653323
Minimum0
Maximum330
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:39.826318image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile91
Q1122
median154
Q3188
95-th percentile228
Maximum330
Range330
Interquartile range (IQR)66

Descriptive statistics

Standard deviation44.11597214
Coefficient of variation (CV)0.2828575523
Kurtosis-0.1495336922
Mean155.9653323
Median Absolute Deviation (MAD)33
Skewness0.1983514994
Sum194800.7
Variance1946.218998
MonotonicityNot monotonic
2024-05-04T15:20:40.026140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122 20
 
1.5%
121 18
 
1.3%
180 16
 
1.2%
181 15
 
1.1%
132 15
 
1.1%
152 15
 
1.1%
187 14
 
1.0%
124 14
 
1.0%
143 14
 
1.0%
185 14
 
1.0%
Other values (202) 1094
79.9%
(Missing) 121
 
8.8%
ValueCountFrequency (%)
0 1
0.1%
14.1 1
0.1%
43 1
0.1%
45 1
0.1%
53 1
0.1%
ValueCountFrequency (%)
330 1
0.1%
304 1
0.1%
289 1
0.1%
285 1
0.1%
280 1
0.1%

gluc_dx_120
Real number (ℝ)

MISSING 

Distinct197
Distinct (%)15.8%
Missing121
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean139.1557246
Minimum0
Maximum1105
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:40.223308image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile83
Q1108
median131
Q3167
95-th percentile208.6
Maximum1105
Range1105
Interquartile range (IQR)59

Descriptive statistics

Standard deviation49.10977876
Coefficient of variation (CV)0.3529123858
Kurtosis119.2475363
Mean139.1557246
Median Absolute Deviation (MAD)29
Skewness6.440284195
Sum173805.5
Variance2411.77037
MonotonicityNot monotonic
2024-05-04T15:20:40.429107image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114 21
 
1.5%
112 19
 
1.4%
100 18
 
1.3%
110 17
 
1.2%
113 17
 
1.2%
107 17
 
1.2%
103 16
 
1.2%
119 16
 
1.2%
120 16
 
1.2%
159 15
 
1.1%
Other values (187) 1077
78.6%
(Missing) 121
 
8.8%
ValueCountFrequency (%)
0 2
0.1%
46 1
0.1%
50 1
0.1%
57 1
0.1%
61 1
0.1%
ValueCountFrequency (%)
1105 1
0.1%
324 1
0.1%
322 1
0.1%
316 1
0.1%
291 1
0.1%

gluc_dx_180
Real number (ℝ)

MISSING  ZEROS 

Distinct161
Distinct (%)14.0%
Missing219
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean109.3336229
Minimum0
Maximum400
Zeros106
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:40.628017image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191.5
median113
Q3139
95-th percentile172
Maximum400
Range400
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation46.70666193
Coefficient of variation (CV)0.4271939471
Kurtosis2.135339016
Mean109.3336229
Median Absolute Deviation (MAD)24
Skewness-0.508782394
Sum125843
Variance2181.512269
MonotonicityNot monotonic
2024-05-04T15:20:40.855668image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106
 
7.7%
100 23
 
1.7%
106 20
 
1.5%
112 19
 
1.4%
107 19
 
1.4%
144 19
 
1.4%
142 18
 
1.3%
105 18
 
1.3%
104 17
 
1.2%
98 16
 
1.2%
Other values (151) 876
63.9%
(Missing) 219
 
16.0%
ValueCountFrequency (%)
0 106
7.7%
35 1
 
0.1%
44 1
 
0.1%
48 1
 
0.1%
49 1
 
0.1%
ValueCountFrequency (%)
400 1
0.1%
285 1
0.1%
243 1
0.1%
236 1
0.1%
232 1
0.1%

dx_inicio
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)0.4%
Missing122
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean0.8221153846
Minimum0
Maximum4
Zeros646
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:41.037192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.166393084
Coefficient of variation (CV)1.418770535
Kurtosis2.056096371
Mean0.8221153846
Median Absolute Deviation (MAD)0
Skewness1.685730865
Sum1026
Variance1.360472827
MonotonicityNot monotonic
2024-05-04T15:20:41.210959image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 646
47.2%
1 404
29.5%
4 107
 
7.8%
2 79
 
5.8%
3 12
 
0.9%
(Missing) 122
 
8.9%
ValueCountFrequency (%)
0 646
47.2%
1 404
29.5%
2 79
 
5.8%
3 12
 
0.9%
4 107
 
7.8%
ValueCountFrequency (%)
4 107
 
7.8%
3 12
 
0.9%
2 79
 
5.8%
1 404
29.5%
0 646
47.2%

auc
Real number (ℝ)

MISSING 

Distinct633
Distinct (%)50.7%
Missing122
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean23029.0625
Minimum0
Maximum75570
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:41.413270image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12880.5
Q118480
median22620
Q327787.5
95-th percentile32929.5
Maximum75570
Range75570
Interquartile range (IQR)9307.5

Descriptive statistics

Standard deviation6635.011204
Coefficient of variation (CV)0.28811469
Kurtosis3.162878116
Mean23029.0625
Median Absolute Deviation (MAD)4770
Skewness0.5366837513
Sum28740270
Variance44023373.68
MonotonicityNot monotonic
2024-05-04T15:20:41.626207image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27390 9
 
0.7%
19230 8
 
0.6%
19560 7
 
0.5%
27900 6
 
0.4%
22110 6
 
0.4%
29160 6
 
0.4%
18600 5
 
0.4%
27930 5
 
0.4%
27030 5
 
0.4%
21000 5
 
0.4%
Other values (623) 1186
86.6%
(Missing) 122
 
8.9%
ValueCountFrequency (%)
0 2
0.1%
2220 1
0.1%
6240 1
0.1%
7410 1
0.1%
8280 1
0.1%
ValueCountFrequency (%)
75570 1
0.1%
50790 1
0.1%
49530 1
0.1%
47190 1
0.1%
43500 1
0.1%

sdg_pp
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)24.0%
Missing857
Missing (%)62.6%
Infinite0
Infinite (%)0.0%
Mean43.78668616
Minimum4
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:41.840872image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q17.71
median12
Q399
95-th percentile99
Maximum99
Range95
Interquartile range (IQR)91.29

Descriptive statistics

Standard deviation43.00137183
Coefficient of variation (CV)0.9820649975
Kurtosis-1.733850207
Mean43.78668616
Median Absolute Deviation (MAD)5.86
Skewness0.4680195041
Sum22462.57
Variance1849.11798
MonotonicityNot monotonic
2024-05-04T15:20:42.065592image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 188
 
13.7%
8 24
 
1.8%
7.29 12
 
0.9%
7.14 11
 
0.8%
6.43 11
 
0.8%
7.71 10
 
0.7%
6 10
 
0.7%
9.71 9
 
0.7%
7 9
 
0.7%
6.29 8
 
0.6%
Other values (113) 221
 
16.1%
(Missing) 857
62.6%
ValueCountFrequency (%)
4 1
 
0.1%
4.43 2
0.1%
4.57 2
0.1%
4.86 1
 
0.1%
5 3
0.2%
ValueCountFrequency (%)
99 188
13.7%
97.43 1
 
0.1%
91.14 1
 
0.1%
62.71 1
 
0.1%
61 1
 
0.1%

gluc_pp_0
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)15.2%
Missing832
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean99.26561338
Minimum67
Maximum866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:42.260189image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile79
Q188
median94.55
Q3104
95-th percentile124.15
Maximum866
Range799
Interquartile range (IQR)16

Descriptive statistics

Standard deviation38.10556429
Coefficient of variation (CV)0.3838747678
Kurtosis308.6028303
Mean99.26561338
Median Absolute Deviation (MAD)7.55
Skewness15.81586813
Sum53404.9
Variance1452.03403
MonotonicityNot monotonic
2024-05-04T15:20:42.486289image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 23
 
1.7%
92 23
 
1.7%
94 21
 
1.5%
93 20
 
1.5%
91 19
 
1.4%
84 18
 
1.3%
95 18
 
1.3%
89 17
 
1.2%
87 17
 
1.2%
97 17
 
1.2%
Other values (72) 345
25.2%
(Missing) 832
60.7%
ValueCountFrequency (%)
67 1
 
0.1%
69 1
 
0.1%
70 3
0.2%
73 2
0.1%
73.9 1
 
0.1%
ValueCountFrequency (%)
866 1
0.1%
309 1
0.1%
285 1
0.1%
184 1
0.1%
176 1
0.1%

gluc_pp_60
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1142
Missing (%)83.4%
Memory size53.7 KiB

gluc_pp_120
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)27.7%
Missing833
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean121.1404097
Minimum37
Maximum562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:42.691817image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile76
Q197
median115
Q3134
95-th percentile183.4
Maximum562
Range525
Interquartile range (IQR)37

Descriptive statistics

Standard deviation43.53509206
Coefficient of variation (CV)0.3593771242
Kurtosis28.45575002
Mean121.1404097
Median Absolute Deviation (MAD)18
Skewness3.925762794
Sum65052.4
Variance1895.304241
MonotonicityNot monotonic
2024-05-04T15:20:42.899253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114 12
 
0.9%
110 11
 
0.8%
125 11
 
0.8%
128 11
 
0.8%
121 10
 
0.7%
116 10
 
0.7%
102 10
 
0.7%
96 10
 
0.7%
101 9
 
0.7%
112 9
 
0.7%
Other values (139) 434
31.7%
(Missing) 833
60.8%
ValueCountFrequency (%)
37 1
0.1%
42 1
0.1%
45 1
0.1%
52 1
0.1%
54 1
0.1%
ValueCountFrequency (%)
562 1
0.1%
421 1
0.1%
392 1
0.1%
363 1
0.1%
331 1
0.1%

gluc_pp_180
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)38.9%
Missing1149
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean90.43438914
Minimum0
Maximum575
Zeros47
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:43.085540image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q173
median95
Q3116
95-th percentile159
Maximum575
Range575
Interquartile range (IQR)43

Descriptive statistics

Standard deviation69.80271871
Coefficient of variation (CV)0.771860344
Kurtosis13.19245958
Mean90.43438914
Median Absolute Deviation (MAD)22
Skewness2.300800101
Sum19986
Variance4872.419539
MonotonicityNot monotonic
2024-05-04T15:20:43.275468image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
 
3.4%
88 8
 
0.6%
83 6
 
0.4%
108 6
 
0.4%
106 5
 
0.4%
93 5
 
0.4%
107 4
 
0.3%
104 4
 
0.3%
120 4
 
0.3%
103 4
 
0.3%
Other values (76) 128
 
9.3%
(Missing) 1149
83.9%
ValueCountFrequency (%)
0 47
3.4%
54 2
 
0.1%
58 1
 
0.1%
67 1
 
0.1%
68 1
 
0.1%
ValueCountFrequency (%)
575 1
0.1%
409 1
0.1%
394 1
0.1%
328 1
0.1%
253 1
0.1%

dx_pp
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)0.9%
Missing831
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean0.8385899814
Minimum0
Maximum4
Zeros315
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:43.434433image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.232277585
Coefficient of variation (CV)1.469463757
Kurtosis0.5906020684
Mean0.8385899814
Median Absolute Deviation (MAD)0
Skewness1.356814949
Sum452
Variance1.518508045
MonotonicityNot monotonic
2024-05-04T15:20:43.592032image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 315
 
23.0%
1 109
 
8.0%
3 51
 
3.7%
2 33
 
2.4%
4 31
 
2.3%
(Missing) 831
60.7%
ValueCountFrequency (%)
0 315
23.0%
1 109
 
8.0%
2 33
 
2.4%
3 51
 
3.7%
4 31
 
2.3%
ValueCountFrequency (%)
4 31
 
2.3%
3 51
 
3.7%
2 33
 
2.4%
1 109
 
8.0%
0 315
23.0%

ichos_pregesta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing264
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean0.02169981917
Minimum0
Maximum1
Zeros1082
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:43.749688image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1457674474
Coefficient of variation (CV)6.717449868
Kurtosis41.29739545
Mean0.02169981917
Median Absolute Deviation (MAD)0
Skewness6.574398814
Sum24
Variance0.02124814872
MonotonicityNot monotonic
2024-05-04T15:20:43.891824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1082
79.0%
1 24
 
1.8%
(Missing) 264
 
19.3%
ValueCountFrequency (%)
0 1082
79.0%
1 24
 
1.8%
ValueCountFrequency (%)
1 24
 
1.8%
0 1082
79.0%

hta_pregesta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing105
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean0.1280632411
Minimum0
Maximum1
Zeros1103
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:44.026065image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3342923696
Coefficient of variation (CV)2.61036943
Kurtosis2.971987471
Mean0.1280632411
Median Absolute Deviation (MAD)0
Skewness2.228742061
Sum162
Variance0.1117513884
MonotonicityNot monotonic
2024-05-04T15:20:44.163368image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1103
80.5%
1 162
 
11.8%
(Missing) 105
 
7.7%
ValueCountFrequency (%)
0 1103
80.5%
1 162
 
11.8%
ValueCountFrequency (%)
1 162
 
11.8%
0 1103
80.5%

sop
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing235
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.01938325991
Minimum0
Maximum1
Zeros1113
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:44.294594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1379286433
Coefficient of variation (CV)7.1158641
Kurtosis46.82196709
Mean0.01938325991
Median Absolute Deviation (MAD)0
Skewness6.981365511
Sum22
Variance0.01902431065
MonotonicityNot monotonic
2024-05-04T15:20:44.433162image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1113
81.2%
1 22
 
1.6%
(Missing) 235
 
17.2%
ValueCountFrequency (%)
0 1113
81.2%
1 22
 
1.6%
ValueCountFrequency (%)
1 22
 
1.6%
0 1113
81.2%

hipotiroidismo
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing263
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean0.0189701897
Minimum0
Maximum1
Zeros1086
Zeros (%)79.3%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:44.563627image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1364813112
Coefficient of variation (CV)7.194514831
Kurtosis47.9553647
Mean0.0189701897
Median Absolute Deviation (MAD)0
Skewness7.061779351
Sum21
Variance0.0186271483
MonotonicityNot monotonic
2024-05-04T15:20:44.695071image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1086
79.3%
1 21
 
1.5%
(Missing) 263
 
19.2%
ValueCountFrequency (%)
0 1086
79.3%
1 21
 
1.5%
ValueCountFrequency (%)
1 21
 
1.5%
0 1086
79.3%

hipertiroidismo
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing263
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean0.007226738934
Minimum0
Maximum1
Zeros1099
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:44.828009image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08474078168
Coefficient of variation (CV)11.72600567
Kurtosis133.9921335
Mean0.007226738934
Median Absolute Deviation (MAD)0
Skewness11.65118255
Sum8
Variance0.00718100008
MonotonicityNot monotonic
2024-05-04T15:20:44.960380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1099
80.2%
1 8
 
0.6%
(Missing) 263
 
19.2%
ValueCountFrequency (%)
0 1099
80.2%
1 8
 
0.6%
ValueCountFrequency (%)
1 8
 
0.6%
0 1099
80.2%

consumo_alcohol
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing645
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean0.2579310345
Minimum0
Maximum1
Zeros538
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:45.092056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4377978805
Coefficient of variation (CV)1.697344724
Kurtosis-0.7724636045
Mean0.2579310345
Median Absolute Deviation (MAD)0
Skewness1.108907101
Sum187
Variance0.1916669842
MonotonicityNot monotonic
2024-05-04T15:20:45.224375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 538
39.3%
1 187
 
13.6%
(Missing) 645
47.1%
ValueCountFrequency (%)
0 538
39.3%
1 187
 
13.6%
ValueCountFrequency (%)
1 187
 
13.6%
0 538
39.3%

consumo_tabaco
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing644
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean0.2685950413
Minimum0
Maximum1
Zeros531
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:45.379985image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4435343426
Coefficient of variation (CV)1.651312475
Kurtosis-0.9076775233
Mean0.2685950413
Median Absolute Deviation (MAD)0
Skewness1.046341519
Sum195
Variance0.196722713
MonotonicityNot monotonic
2024-05-04T15:20:45.521803image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 531
38.8%
1 195
 
14.2%
(Missing) 644
47.0%
ValueCountFrequency (%)
0 531
38.8%
1 195
 
14.2%
ValueCountFrequency (%)
1 195
 
14.2%
0 531
38.8%

anticonceptivo
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.4%
Missing656
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean0.6316526611
Minimum0
Maximum2
Zeros365
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:45.652932image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7204921275
Coefficient of variation (CV)1.140646073
Kurtosis-0.8069622504
Mean0.6316526611
Median Absolute Deviation (MAD)0
Skewness0.6832269405
Sum451
Variance0.5191089058
MonotonicityNot monotonic
2024-05-04T15:20:45.802871image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
26.6%
1 247
 
18.0%
2 102
 
7.4%
(Missing) 656
47.9%
ValueCountFrequency (%)
0 365
26.6%
1 247
18.0%
2 102
 
7.4%
ValueCountFrequency (%)
2 102
 
7.4%
1 247
18.0%
0 365
26.6%

ah_dm
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing93
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.7267032106
Minimum0
Maximum1
Zeros349
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:45.950197image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4458265373
Coefficient of variation (CV)0.6134919053
Kurtosis-0.9639720164
Mean0.7267032106
Median Absolute Deviation (MAD)0
Skewness-1.018597165
Sum928
Variance0.1987613013
MonotonicityNot monotonic
2024-05-04T15:20:46.095474image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 928
67.7%
0 349
 
25.5%
(Missing) 93
 
6.8%
ValueCountFrequency (%)
0 349
 
25.5%
1 928
67.7%
ValueCountFrequency (%)
1 928
67.7%
0 349
 
25.5%

ah_hta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing94
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean0.5015673981
Minimum0
Maximum1
Zeros636
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:46.230581image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5001935823
Coefficient of variation (CV)0.9972609547
Kurtosis-2.003102721
Mean0.5015673981
Median Absolute Deviation (MAD)0
Skewness-0.006277004617
Sum640
Variance0.2501936198
MonotonicityNot monotonic
2024-05-04T15:20:46.365677image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 640
46.7%
0 636
46.4%
(Missing) 94
 
6.9%
ValueCountFrequency (%)
0 636
46.4%
1 640
46.7%
ValueCountFrequency (%)
1 640
46.7%
0 636
46.4%

ah_ob
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing93
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.1205951449
Minimum0
Maximum1
Zeros1123
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:46.521534image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.325783776
Coefficient of variation (CV)2.701466766
Kurtosis3.447519026
Mean0.1205951449
Median Absolute Deviation (MAD)0
Skewness2.332835629
Sum154
Variance0.1061350687
MonotonicityNot monotonic
2024-05-04T15:20:46.661443image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1123
82.0%
1 154
 
11.2%
(Missing) 93
 
6.8%
ValueCountFrequency (%)
0 1123
82.0%
1 154
 
11.2%
ValueCountFrequency (%)
1 154
 
11.2%
0 1123
82.0%

ah_dg
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing119
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean0.03197442046
Minimum0
Maximum1
Zeros1211
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:46.789085image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1760023254
Coefficient of variation (CV)5.504472727
Kurtosis26.41829349
Mean0.03197442046
Median Absolute Deviation (MAD)0
Skewness5.326918482
Sum40
Variance0.03097681855
MonotonicityNot monotonic
2024-05-04T15:20:46.947092image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1211
88.4%
1 40
 
2.9%
(Missing) 119
 
8.7%
ValueCountFrequency (%)
0 1211
88.4%
1 40
 
2.9%
ValueCountFrequency (%)
1 40
 
2.9%
0 1211
88.4%

no_gestas
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)0.8%
Missing79
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean2.47560031
Minimum0
Maximum11
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:47.096530image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.395447029
Coefficient of variation (CV)0.5636802611
Kurtosis1.708544337
Mean2.47560031
Median Absolute Deviation (MAD)1
Skewness1.09003437
Sum3196
Variance1.947272411
MonotonicityNot monotonic
2024-05-04T15:20:47.607262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 375
27.4%
2 359
26.2%
3 289
21.1%
4 159
11.6%
5 68
 
5.0%
6 20
 
1.5%
7 15
 
1.1%
8 3
 
0.2%
0 2
 
0.1%
11 1
 
0.1%
(Missing) 79
 
5.8%
ValueCountFrequency (%)
0 2
 
0.1%
1 375
27.4%
2 359
26.2%
3 289
21.1%
4 159
11.6%
ValueCountFrequency (%)
11 1
 
0.1%
8 3
 
0.2%
7 15
 
1.1%
6 20
 
1.5%
5 68
5.0%

ant_dg
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing263
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean0.03703703704
Minimum0
Maximum1
Zeros1066
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:47.750094image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1889379317
Coefficient of variation (CV)5.101324155
Kurtosis22.14376731
Mean0.03703703704
Median Absolute Deviation (MAD)0
Skewness4.909558402
Sum41
Variance0.03569754203
MonotonicityNot monotonic
2024-05-04T15:20:47.885063image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1066
77.8%
1 41
 
3.0%
(Missing) 263
 
19.2%
ValueCountFrequency (%)
0 1066
77.8%
1 41
 
3.0%
ValueCountFrequency (%)
1 41
 
3.0%
0 1066
77.8%

ant_aborto
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.2%
Missing88
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean0.344773791
Minimum0
Maximum2
Zeros841
Zeros (%)61.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:48.089485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4771189104
Coefficient of variation (CV)1.383860731
Kurtosis-1.486151804
Mean0.344773791
Median Absolute Deviation (MAD)0
Skewness0.6755288038
Sum442
Variance0.2276424546
MonotonicityNot monotonic
2024-05-04T15:20:48.243700image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 841
61.4%
1 440
32.1%
2 1
 
0.1%
(Missing) 88
 
6.4%
ValueCountFrequency (%)
0 841
61.4%
1 440
32.1%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
1 440
32.1%
0 841
61.4%

ant_obito
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing134
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean0.03721682848
Minimum0
Maximum1
Zeros1190
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:48.390231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1893693473
Coefficient of variation (CV)5.088272028
Kurtosis22.00197512
Mean0.03721682848
Median Absolute Deviation (MAD)0
Skewness4.895546527
Sum46
Variance0.03586074971
MonotonicityNot monotonic
2024-05-04T15:20:48.526266image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1190
86.9%
1 46
 
3.4%
(Missing) 134
 
9.8%
ValueCountFrequency (%)
0 1190
86.9%
1 46
 
3.4%
ValueCountFrequency (%)
1 46
 
3.4%
0 1190
86.9%

ant_mnt
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing118
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.04952076677
Minimum0
Maximum1
Zeros1190
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:48.657873image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.217039363
Coefficient of variation (CV)4.382794879
Kurtosis15.31151763
Mean0.04952076677
Median Absolute Deviation (MAD)0
Skewness4.157771141
Sum62
Variance0.0471060851
MonotonicityNot monotonic
2024-05-04T15:20:48.795657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1190
86.9%
1 62
 
4.5%
(Missing) 118
 
8.6%
ValueCountFrequency (%)
0 1190
86.9%
1 62
 
4.5%
ValueCountFrequency (%)
1 62
 
4.5%
0 1190
86.9%

ant_malformado
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing256
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean0.03141831239
Minimum0
Maximum1
Zeros1079
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:48.942838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1745237624
Coefficient of variation (CV)5.554842037
Kurtosis26.98736612
Mean0.03141831239
Median Absolute Deviation (MAD)0
Skewness5.379490495
Sum35
Variance0.03045854364
MonotonicityNot monotonic
2024-05-04T15:20:49.081047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1079
78.8%
1 35
 
2.6%
(Missing) 256
 
18.7%
ValueCountFrequency (%)
0 1079
78.8%
1 35
 
2.6%
ValueCountFrequency (%)
1 35
 
2.6%
0 1079
78.8%

ant_macrosomico
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)7.6%
Memory size53.7 KiB

cesarea_iter
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing87
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean0.04910366329
Minimum0
Maximum1
Zeros1220
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:49.225760image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2161687192
Coefficient of variation (CV)4.402293122
Kurtosis15.48165963
Mean0.04910366329
Median Absolute Deviation (MAD)0
Skewness4.178220734
Sum63
Variance0.04672891514
MonotonicityNot monotonic
2024-05-04T15:20:49.375110image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1220
89.1%
1 63
 
4.6%
(Missing) 87
 
6.4%
ValueCountFrequency (%)
0 1220
89.1%
1 63
 
4.6%
ValueCountFrequency (%)
1 63
 
4.6%
0 1220
89.1%

ema
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing54
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean0.3480243161
Minimum0
Maximum1
Zeros858
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:49.514051image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4765248594
Coefficient of variation (CV)1.369228635
Kurtosis-1.594333269
Mean0.3480243161
Median Absolute Deviation (MAD)0
Skewness0.6388208234
Sum458
Variance0.2270759416
MonotonicityNot monotonic
2024-05-04T15:20:49.663894image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 858
62.6%
1 458
33.4%
(Missing) 54
 
3.9%
ValueCountFrequency (%)
0 858
62.6%
1 458
33.4%
ValueCountFrequency (%)
1 458
33.4%
0 858
62.6%

alta_paridad
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.2%
Missing79
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean0.4213787761
Minimum0
Maximum3
Zeros749
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:49.797458image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4986570692
Coefficient of variation (CV)1.18339389
Kurtosis-1.388827909
Mean0.4213787761
Median Absolute Deviation (MAD)0
Skewness0.4126971611
Sum544
Variance0.2486588727
MonotonicityNot monotonic
2024-05-04T15:20:49.945350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 749
54.7%
1 541
39.5%
3 1
 
0.1%
(Missing) 79
 
5.8%
ValueCountFrequency (%)
0 749
54.7%
1 541
39.5%
3 1
 
0.1%
ValueCountFrequency (%)
3 1
 
0.1%
1 541
39.5%
0 749
54.7%

estatura_baja
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing82
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean0.1296583851
Minimum0
Maximum1
Zeros1121
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:50.105282image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3360576893
Coefficient of variation (CV)2.591870083
Kurtosis2.877361499
Mean0.1296583851
Median Absolute Deviation (MAD)0
Skewness2.207463693
Sum167
Variance0.1129347705
MonotonicityNot monotonic
2024-05-04T15:20:50.246223image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1121
81.8%
1 167
 
12.2%
(Missing) 82
 
6.0%
ValueCountFrequency (%)
0 1121
81.8%
1 167
 
12.2%
ValueCountFrequency (%)
1 167
 
12.2%
0 1121
81.8%

pgr
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing95
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean0.142745098
Minimum0
Maximum1
Zeros1093
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:50.406379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3499499764
Coefficient of variation (CV)2.451572637
Kurtosis2.185271167
Mean0.142745098
Median Absolute Deviation (MAD)0
Skewness2.044956173
Sum182
Variance0.122464986
MonotonicityNot monotonic
2024-05-04T15:20:50.542226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1093
79.8%
1 182
 
13.3%
(Missing) 95
 
6.9%
ValueCountFrequency (%)
0 1093
79.8%
1 182
 
13.3%
ValueCountFrequency (%)
1 182
 
13.3%
0 1093
79.8%

infeccion_pregesta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing319
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean0.2083729781
Minimum0
Maximum1
Zeros832
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:50.681349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4063382567
Coefficient of variation (CV)1.950052547
Kurtosis0.06833600104
Mean0.2083729781
Median Absolute Deviation (MAD)0
Skewness1.43812711
Sum219
Variance0.1651107789
MonotonicityNot monotonic
2024-05-04T15:20:50.821349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 832
60.7%
1 219
 
16.0%
(Missing) 319
 
23.3%
ValueCountFrequency (%)
0 832
60.7%
1 219
 
16.0%
ValueCountFrequency (%)
1 219
 
16.0%
0 832
60.7%

embarazo_multiple
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing123
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean0.0208500401
Minimum0
Maximum1
Zeros1221
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:50.962056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1429394998
Coefficient of variation (CV)6.855598318
Kurtosis43.16050335
Mean0.0208500401
Median Absolute Deviation (MAD)0
Skewness6.715004311
Sum26
Variance0.02043170061
MonotonicityNot monotonic
2024-05-04T15:20:51.117317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1221
89.1%
1 26
 
1.9%
(Missing) 123
 
9.0%
ValueCountFrequency (%)
0 1221
89.1%
1 26
 
1.9%
ValueCountFrequency (%)
1 26
 
1.9%
0 1221
89.1%

preeclampsia
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing210
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean0.06034482759
Minimum0
Maximum1
Zeros1090
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:51.263698image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2382273152
Coefficient of variation (CV)3.947766938
Kurtosis11.69114881
Mean0.06034482759
Median Absolute Deviation (MAD)0
Skewness3.697430812
Sum70
Variance0.05675225373
MonotonicityNot monotonic
2024-05-04T15:20:51.413258image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1090
79.6%
1 70
 
5.1%
(Missing) 210
 
15.3%
ValueCountFrequency (%)
0 1090
79.6%
1 70
 
5.1%
ValueCountFrequency (%)
1 70
 
5.1%
0 1090
79.6%

polihidramnios
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing267
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean0.02175883953
Minimum0
Maximum1
Zeros1079
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:51.540815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1459613225
Coefficient of variation (CV)6.708139114
Kurtosis41.17241251
Mean0.02175883953
Median Absolute Deviation (MAD)0
Skewness6.564888449
Sum24
Variance0.02130470767
MonotonicityNot monotonic
2024-05-04T15:20:51.680381image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1079
78.8%
1 24
 
1.8%
(Missing) 267
 
19.5%
ValueCountFrequency (%)
0 1079
78.8%
1 24
 
1.8%
ValueCountFrequency (%)
1 24
 
1.8%
0 1079
78.8%

hidramnios
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing241
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean0.04340124004
Minimum0
Maximum1
Zeros1080
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:51.851246image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2038489116
Coefficient of variation (CV)4.69684533
Kurtosis18.17187444
Mean0.04340124004
Median Absolute Deviation (MAD)0
Skewness4.487726199
Sum49
Variance0.04155437876
MonotonicityNot monotonic
2024-05-04T15:20:52.009645image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1080
78.8%
1 49
 
3.6%
(Missing) 241
 
17.6%
ValueCountFrequency (%)
0 1080
78.8%
1 49
 
3.6%
ValueCountFrequency (%)
1 49
 
3.6%
0 1080
78.8%

infeccion_gesta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing170
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean0.22
Minimum0
Maximum1
Zeros936
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:52.142167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4144190141
Coefficient of variation (CV)1.883722791
Kurtosis-0.168198345
Mean0.22
Median Absolute Deviation (MAD)0
Skewness1.353545258
Sum264
Variance0.1717431193
MonotonicityNot monotonic
2024-05-04T15:20:52.267860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 936
68.3%
1 264
 
19.3%
(Missing) 170
 
12.4%
ValueCountFrequency (%)
0 936
68.3%
1 264
 
19.3%
ValueCountFrequency (%)
1 264
 
19.3%
0 936
68.3%

ac_fol_pregesta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.5%
Missing928
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean0.2013574661
Minimum0
Maximum1
Zeros353
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:52.395253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4014689171
Coefficient of variation (CV)1.993811926
Kurtosis0.2346063239
Mean0.2013574661
Median Absolute Deviation (MAD)0
Skewness1.494511715
Sum89
Variance0.1611772914
MonotonicityNot monotonic
2024-05-04T15:20:52.544209image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 353
 
25.8%
1 89
 
6.5%
(Missing) 928
67.7%
ValueCountFrequency (%)
0 353
25.8%
1 89
 
6.5%
ValueCountFrequency (%)
1 89
 
6.5%
0 353
25.8%

ac_fol_gesta
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.6%
Missing827
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean0.9871086556
Minimum0
Maximum2
Zeros8
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:52.691432image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1282133873
Coefficient of variation (CV)0.1298878158
Kurtosis56.68536282
Mean0.9871086556
Median Absolute Deviation (MAD)0
Skewness-5.846594082
Sum536
Variance0.01643867267
MonotonicityNot monotonic
2024-05-04T15:20:52.888293image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 534
39.0%
0 8
 
0.6%
2 1
 
0.1%
(Missing) 827
60.4%
ValueCountFrequency (%)
0 8
 
0.6%
1 534
39.0%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
1 534
39.0%
0 8
 
0.6%

sdg_fol
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)15.7%
Missing989
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean5.582992126
Minimum0
Maximum27
Zeros86
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:53.161449image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q38
95-th percentile13
Maximum27
Range27
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.463525863
Coefficient of variation (CV)0.799486326
Kurtosis1.648657876
Mean5.582992126
Median Absolute Deviation (MAD)3
Skewness0.8680449013
Sum2127.12
Variance19.92306313
MonotonicityNot monotonic
2024-05-04T15:20:53.399263image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 86
 
6.3%
4 45
 
3.3%
5 32
 
2.3%
6 26
 
1.9%
8 23
 
1.7%
7 22
 
1.6%
3 22
 
1.6%
9 15
 
1.1%
10 14
 
1.0%
12 9
 
0.7%
Other values (50) 87
 
6.4%
(Missing) 989
72.2%
ValueCountFrequency (%)
0 86
6.3%
1 3
 
0.2%
2 6
 
0.4%
3 22
 
1.6%
4 45
3.3%
ValueCountFrequency (%)
27 1
0.1%
24 1
0.1%
20 2
0.1%
18.5 1
0.1%
17 2
0.1%

trim_fol
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)0.9%
Missing915
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean0.9714285714
Minimum0
Maximum4
Zeros58
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:53.625370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4891523087
Coefficient of variation (CV)0.5035391413
Kurtosis4.106306796
Mean0.9714285714
Median Absolute Deviation (MAD)0
Skewness0.3841347666
Sum442
Variance0.2392699811
MonotonicityNot monotonic
2024-05-04T15:20:53.864010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 354
 
25.8%
0 58
 
4.2%
2 42
 
3.1%
4 1
 
0.1%
(Missing) 915
66.8%
ValueCountFrequency (%)
0 58
 
4.2%
1 354
25.8%
2 42
 
3.1%
4 1
 
0.1%
ValueCountFrequency (%)
4 1
 
0.1%
2 42
 
3.1%
1 354
25.8%
0 58
 
4.2%

ac_fol_dosis_mg
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)7.4%
Missing977
Missing (%)71.3%
Infinite0
Infinite (%)0.0%
Mean1.784198473
Minimum0
Maximum6.24
Zeros4
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:54.117803image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q10.4
median0.8
Q33
95-th percentile5
Maximum6.24
Range6.24
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.920520877
Coefficient of variation (CV)1.076405403
Kurtosis-0.556189946
Mean1.784198473
Median Absolute Deviation (MAD)0.4
Skewness1.109073354
Sum701.19
Variance3.68840044
MonotonicityNot monotonic
2024-05-04T15:20:54.303643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.4 124
 
9.1%
5 70
 
5.1%
1 52
 
3.8%
0.8 36
 
2.6%
0.6 22
 
1.6%
1.4 13
 
0.9%
0.5 11
 
0.8%
4 11
 
0.8%
6 7
 
0.5%
1.5 7
 
0.5%
Other values (19) 40
 
2.9%
(Missing) 977
71.3%
ValueCountFrequency (%)
0 4
 
0.3%
0.1 4
 
0.3%
0.35 2
 
0.1%
0.4 124
9.1%
0.5 11
 
0.8%
ValueCountFrequency (%)
6.24 1
 
0.1%
6 7
0.5%
5.8 3
0.2%
5.6 3
0.2%
5.4 3
0.2%

tx_ins
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing317
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean0.05698005698
Minimum0
Maximum1
Zeros993
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:54.446408image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2319146554
Coefficient of variation (CV)4.070102203
Kurtosis12.6762266
Mean0.05698005698
Median Absolute Deviation (MAD)0
Skewness3.827813183
Sum60
Variance0.0537844074
MonotonicityNot monotonic
2024-05-04T15:20:54.582954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 993
72.5%
1 60
 
4.4%
(Missing) 317
 
23.1%
ValueCountFrequency (%)
0 993
72.5%
1 60
 
4.4%
ValueCountFrequency (%)
1 60
 
4.4%
0 993
72.5%

modo_parto
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.4%
Missing520
Missing (%)38.0%
Infinite0
Infinite (%)0.0%
Mean0.8023529412
Minimum0
Maximum2
Zeros182
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:54.710208image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4378920678
Coefficient of variation (CV)0.5457599085
Kurtosis0.3842993886
Mean0.8023529412
Median Absolute Deviation (MAD)0
Skewness-0.9126832904
Sum682
Variance0.191749463
MonotonicityNot monotonic
2024-05-04T15:20:54.855170image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 654
47.7%
0 182
 
13.3%
2 14
 
1.0%
(Missing) 520
38.0%
ValueCountFrequency (%)
0 182
 
13.3%
1 654
47.7%
2 14
 
1.0%
ValueCountFrequency (%)
2 14
 
1.0%
1 654
47.7%
0 182
 
13.3%

sdg_parto
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)12.9%
Missing672
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean37.45204871
Minimum7.4
Maximum41.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:55.041629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.4
5-th percentile33.94
Q136.5
median38
Q339
95-th percentile40.3
Maximum41.1
Range33.7
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.464145756
Coefficient of variation (CV)0.06579468521
Kurtosis35.43763405
Mean37.45204871
Median Absolute Deviation (MAD)1
Skewness-3.929391575
Sum26141.53
Variance6.072014305
MonotonicityNot monotonic
2024-05-04T15:20:55.229352image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 80
 
5.8%
39 63
 
4.6%
37 42
 
3.1%
36 31
 
2.3%
37.5 23
 
1.7%
40 23
 
1.7%
38.2 20
 
1.5%
38.5 20
 
1.5%
38.3 19
 
1.4%
38.1 19
 
1.4%
Other values (80) 358
26.1%
(Missing) 672
49.1%
ValueCountFrequency (%)
7.4 1
0.1%
22 1
0.1%
26 2
0.1%
26.5 1
0.1%
28 1
0.1%
ValueCountFrequency (%)
41.1 1
 
0.1%
41 10
0.7%
40.6 5
0.4%
40.5 6
0.4%
40.4 4
 
0.3%

termino_rn
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.6%
Missing657
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean2.802244039
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:55.408802image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5153764981
Coefficient of variation (CV)0.1839156372
Kurtosis0.6437460286
Mean2.802244039
Median Absolute Deviation (MAD)0
Skewness-0.4865502758
Sum1998
Variance0.2656129347
MonotonicityNot monotonic
2024-05-04T15:20:55.585161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 508
37.1%
2 167
 
12.2%
4 34
 
2.5%
1 4
 
0.3%
(Missing) 657
48.0%
ValueCountFrequency (%)
1 4
 
0.3%
2 167
 
12.2%
3 508
37.1%
4 34
 
2.5%
ValueCountFrequency (%)
4 34
 
2.5%
3 508
37.1%
2 167
 
12.2%
1 4
 
0.3%

sexo_rn
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing496
Missing (%)36.2%
Memory size53.7 KiB

peso_rn
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing494
Missing (%)36.1%
Memory size53.7 KiB

talla_rn
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing572
Missing (%)41.8%
Memory size53.7 KiB

pc
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1132
Missing (%)82.6%
Memory size53.7 KiB

capurro
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing798
Missing (%)58.2%
Memory size53.7 KiB

apgar_1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing884
Missing (%)64.5%
Memory size53.7 KiB

apgar_5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing879
Missing (%)64.2%
Memory size53.7 KiB

pH_A
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1180
Missing (%)86.1%
Memory size53.7 KiB

pO2_A
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1181
Missing (%)86.2%
Memory size53.7 KiB

pCO2_A
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1181
Missing (%)86.2%
Memory size53.7 KiB

pH_V
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1184
Missing (%)86.4%
Memory size53.7 KiB

pO2_V
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)86.6%
Memory size53.7 KiB

pCO2_V
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1186
Missing (%)86.6%
Memory size53.7 KiB

macrosomia_rn
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing683
Missing (%)49.9%
Memory size53.7 KiB

percentil_peso
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing761
Missing (%)55.5%
Memory size53.7 KiB

malformaciones_rn
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing517
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean0.03048065651
Minimum0
Maximum1
Zeros827
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:55.736051image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1720066017
Coefficient of variation (CV)5.643139665
Kurtosis28.01007342
Mean0.03048065651
Median Absolute Deviation (MAD)0
Skewness5.472148068
Sum26
Variance0.02958627105
MonotonicityNot monotonic
2024-05-04T15:20:55.873083image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 827
60.4%
1 26
 
1.9%
(Missing) 517
37.7%
ValueCountFrequency (%)
0 827
60.4%
1 26
 
1.9%
ValueCountFrequency (%)
1 26
 
1.9%
0 827
60.4%

app
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing527
Missing (%)38.5%
Infinite0
Infinite (%)0.0%
Mean0.2277580071
Minimum0
Maximum1
Zeros651
Zeros (%)47.5%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:56.010106image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4196345863
Coefficient of variation (CV)1.842458106
Kurtosis-0.3091658005
Mean0.2277580071
Median Absolute Deviation (MAD)0
Skewness1.300604985
Sum192
Variance0.176093186
MonotonicityNot monotonic
2024-05-04T15:20:56.153363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 651
47.5%
1 192
 
14.0%
(Missing) 527
38.5%
ValueCountFrequency (%)
0 651
47.5%
1 192
 
14.0%
ValueCountFrequency (%)
1 192
 
14.0%
0 651
47.5%

aborto_rn
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2
Distinct (%)0.2%
Missing537
Missing (%)39.2%
Infinite0
Infinite (%)0.0%
Mean0.001200480192
Minimum0
Maximum1
Zeros832
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:56.303093image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03464794643
Coefficient of variation (CV)28.86173938
Kurtosis833
Mean0.001200480192
Median Absolute Deviation (MAD)0
Skewness28.86173938
Sum1
Variance0.001200480192
MonotonicityNot monotonic
2024-05-04T15:20:56.485010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 832
60.7%
1 1
 
0.1%
(Missing) 537
39.2%
ValueCountFrequency (%)
0 832
60.7%
1 1
 
0.1%
ValueCountFrequency (%)
1 1
 
0.1%
0 832
60.7%

obito_rn
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing537
Missing (%)39.2%
Infinite0
Infinite (%)0.0%
Mean0.00600240096
Minimum0
Maximum1
Zeros828
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:56.617387image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07728870075
Coefficient of variation (CV)12.87629754
Kurtosis162.5875095
Mean0.00600240096
Median Absolute Deviation (MAD)0
Skewness12.8139435
Sum5
Variance0.005973543263
MonotonicityNot monotonic
2024-05-04T15:20:56.762841image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 828
60.4%
1 5
 
0.4%
(Missing) 537
39.2%
ValueCountFrequency (%)
0 828
60.4%
1 5
 
0.4%
ValueCountFrequency (%)
1 5
 
0.4%
0 828
60.4%

mnt_rn
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing542
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean0.003623188406
Minimum0
Maximum1
Zeros825
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:56.891681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06012009781
Coefficient of variation (CV)16.593147
Kurtosis272.6545572
Mean0.003623188406
Median Absolute Deviation (MAD)0
Skewness16.55282379
Sum3
Variance0.003614426161
MonotonicityNot monotonic
2024-05-04T15:20:57.021530image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 825
60.2%
1 3
 
0.2%
(Missing) 542
39.6%
ValueCountFrequency (%)
0 825
60.2%
1 3
 
0.2%
ValueCountFrequency (%)
1 3
 
0.2%
0 825
60.2%

peso_placenta
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1060
Missing (%)77.4%
Memory size53.7 KiB

fur
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing327
Missing (%)23.9%
Memory size53.7 KiB

fecha_encuesta
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing531
Missing (%)38.8%
Memory size53.7 KiB

ano_gesta
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)1.6%
Missing80
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean2008.265116
Minimum1996
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:57.167557image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1996
5-th percentile2001
Q12005
median2007
Q32012
95-th percentile2016
Maximum2018
Range22
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.768279126
Coefficient of variation (CV)0.002374327517
Kurtosis-0.7213004822
Mean2008.265116
Median Absolute Deviation (MAD)4
Skewness0.1676241679
Sum2590662
Variance22.73648583
MonotonicityNot monotonic
2024-05-04T15:20:57.307888image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2006 199
14.5%
2011 154
11.2%
2004 131
9.6%
2012 114
8.3%
2016 113
8.2%
2007 98
7.2%
2003 78
 
5.7%
2008 70
 
5.1%
2013 61
 
4.5%
2017 54
 
3.9%
Other values (11) 218
15.9%
(Missing) 80
 
5.8%
ValueCountFrequency (%)
1996 1
 
0.1%
1997 4
 
0.3%
1998 10
 
0.7%
1999 16
1.2%
2000 27
2.0%
ValueCountFrequency (%)
2018 8
 
0.6%
2017 54
3.9%
2016 113
8.2%
2013 61
4.5%
2012 114
8.3%

muestra_gesta_estudio
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing46
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean0.8255287009
Minimum0
Maximum1
Zeros231
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:57.533968image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3796576509
Coefficient of variation (CV)0.4598963676
Kurtosis0.9510627868
Mean0.8255287009
Median Absolute Deviation (MAD)0
Skewness-1.717448229
Sum1093
Variance0.1441399319
MonotonicityNot monotonic
2024-05-04T15:20:57.689917image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1093
79.8%
0 231
 
16.9%
(Missing) 46
 
3.4%
ValueCountFrequency (%)
0 231
 
16.9%
1 1093
79.8%
ValueCountFrequency (%)
1 1093
79.8%
0 231
 
16.9%

fecha_muestra
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing449
Missing (%)32.8%
Memory size53.7 KiB

sdg_muestra
Real number (ℝ)

MISSING 

Distinct314
Distinct (%)38.2%
Missing548
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean30.15611401
Minimum-45.71428571
Maximum345.8571429
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size53.7 KiB
2024-05-04T15:20:57.858380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-45.71428571
5-th percentile20.29
Q125
median27.28285714
Q330.71
95-th percentile37
Maximum345.8571429
Range391.5714286
Interquartile range (IQR)5.71

Descriptive statistics

Standard deviation23.75042524
Coefficient of variation (CV)0.7875824199
Kurtosis116.791636
Mean30.15611401
Median Absolute Deviation (MAD)2.382857143
Skewness10.19803369
Sum24788.32571
Variance564.0826993
MonotonicityNot monotonic
2024-05-04T15:20:58.051145image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 41
 
3.0%
26 38
 
2.8%
28 34
 
2.5%
27 33
 
2.4%
24 27
 
2.0%
30 13
 
0.9%
31 11
 
0.8%
29 11
 
0.8%
33.71 10
 
0.7%
26.57 9
 
0.7%
Other values (304) 595
43.4%
(Missing) 548
40.0%
ValueCountFrequency (%)
-45.71428571 1
0.1%
9.57 1
0.1%
11.71 1
0.1%
13.71428571 1
0.1%
14.28 1
0.1%
ValueCountFrequency (%)
345.8571429 1
0.1%
344.16 1
0.1%
283.1428571 1
0.1%
278.4285714 1
0.1%
253.1428571 1
0.1%

ins_dx
Real number (ℝ)

MISSING 

Distinct228
Distinct (%)46.4%
Missing879
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean16.97494908
Minimum0
Maximum250.6
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:58.367285image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.1
Q18.6
median13
Q317.95
95-th percentile36.35
Maximum250.6
Range250.6
Interquartile range (IQR)9.35

Descriptive statistics

Standard deviation20.59905396
Coefficient of variation (CV)1.213497246
Kurtosis57.20145959
Mean16.97494908
Median Absolute Deviation (MAD)4.6
Skewness6.703057924
Sum8334.7
Variance424.3210242
MonotonicityNot monotonic
2024-05-04T15:20:58.610635image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.2 6
 
0.4%
15.7 6
 
0.4%
7.1 6
 
0.4%
13 6
 
0.4%
5.3 5
 
0.4%
9 5
 
0.4%
11 5
 
0.4%
8.5 5
 
0.4%
10 5
 
0.4%
12.2 5
 
0.4%
Other values (218) 437
31.9%
(Missing) 879
64.2%
ValueCountFrequency (%)
0 1
0.1%
2.5 1
0.1%
2.8 1
0.1%
3.2 1
0.1%
3.3 2
0.1%
ValueCountFrequency (%)
250.6 1
0.1%
182.1 1
0.1%
169.4 1
0.1%
164.2 1
0.1%
156.4 1
0.1%

gluc_dx
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)10.0%
Missing629
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean82.10728745
Minimum48
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:58.817281image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile64
Q175
median81
Q387
95-th percentile104
Maximum163
Range115
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.25940363
Coefficient of variation (CV)0.1614887551
Kurtosis7.142254562
Mean82.10728745
Median Absolute Deviation (MAD)6
Skewness1.769145113
Sum60841.5
Variance175.8117847
MonotonicityNot monotonic
2024-05-04T15:20:59.439938image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83 40
 
2.9%
76 36
 
2.6%
75 33
 
2.4%
80 33
 
2.4%
84 33
 
2.4%
77 31
 
2.3%
81 29
 
2.1%
78 27
 
2.0%
79 26
 
1.9%
73 25
 
1.8%
Other values (64) 428
31.2%
(Missing) 629
45.9%
ValueCountFrequency (%)
48 1
 
0.1%
51 2
0.1%
56 1
 
0.1%
57 2
0.1%
58 3
0.2%
ValueCountFrequency (%)
163 1
0.1%
159 1
0.1%
156 1
0.1%
151 1
0.1%
150 1
0.1%

crea_dx
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)9.6%
Missing1214
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean0.7164102564
Minimum0.25
Maximum1.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:20:59.698424image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile0.5875
Q10.6
median0.7
Q30.8
95-th percentile0.9
Maximum1.4
Range1.15
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1268677173
Coefficient of variation (CV)0.1770880807
Kurtosis6.820557019
Mean0.7164102564
Median Absolute Deviation (MAD)0.1
Skewness1.213991353
Sum111.76
Variance0.0160954177
MonotonicityNot monotonic
2024-05-04T15:20:59.869990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.7 63
 
4.6%
0.8 37
 
2.7%
0.6 32
 
2.3%
0.9 10
 
0.7%
0.55 3
 
0.2%
0.5 2
 
0.1%
1.2 1
 
0.1%
1.1 1
 
0.1%
1.4 1
 
0.1%
1 1
 
0.1%
Other values (5) 5
 
0.4%
(Missing) 1214
88.6%
ValueCountFrequency (%)
0.25 1
 
0.1%
0.44 1
 
0.1%
0.5 2
0.1%
0.52 1
 
0.1%
0.55 3
0.2%
ValueCountFrequency (%)
1.4 1
 
0.1%
1.2 1
 
0.1%
1.1 1
 
0.1%
1 1
 
0.1%
0.9 10
0.7%

urico_dx
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)26.4%
Missing1222
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean4.231081081
Minimum2.4
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:00.030018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile2.9
Q13.6
median4.15
Q34.625
95-th percentile6.16
Maximum8
Range5.6
Interquartile range (IQR)1.025

Descriptive statistics

Standard deviation1.008727315
Coefficient of variation (CV)0.2384088831
Kurtosis1.890354919
Mean4.231081081
Median Absolute Deviation (MAD)0.55
Skewness1.050758206
Sum626.2
Variance1.017530796
MonotonicityNot monotonic
2024-05-04T15:21:00.210703image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4.2 11
 
0.8%
3.8 9
 
0.7%
4.5 8
 
0.6%
4.4 8
 
0.6%
4.1 8
 
0.6%
4.3 7
 
0.5%
3.2 7
 
0.5%
4 6
 
0.4%
3.6 6
 
0.4%
3.7 6
 
0.4%
Other values (29) 72
 
5.3%
(Missing) 1222
89.2%
ValueCountFrequency (%)
2.4 2
 
0.1%
2.6 2
 
0.1%
2.7 3
0.2%
2.9 2
 
0.1%
3 5
0.4%
ValueCountFrequency (%)
8 1
0.1%
7.7 1
0.1%
7.4 1
0.1%
6.8 1
0.1%
6.6 1
0.1%

tg_dx
Real number (ℝ)

MISSING 

Distinct294
Distinct (%)39.8%
Missing632
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean247.9227642
Minimum29
Maximum820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:00.435506image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile135
Q1183
median236.5
Q3289
95-th percentile417.15
Maximum820
Range791
Interquartile range (IQR)106

Descriptive statistics

Standard deviation91.45359091
Coefficient of variation (CV)0.3688793613
Kurtosis4.10721585
Mean247.9227642
Median Absolute Deviation (MAD)53.5
Skewness1.379223709
Sum182967
Variance8363.759291
MonotonicityNot monotonic
2024-05-04T15:21:00.665892image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
225 9
 
0.7%
237 9
 
0.7%
226 8
 
0.6%
228 8
 
0.6%
285 8
 
0.6%
247 7
 
0.5%
256 7
 
0.5%
240 7
 
0.5%
268 7
 
0.5%
171 7
 
0.5%
Other values (284) 661
48.2%
(Missing) 632
46.1%
ValueCountFrequency (%)
29 1
0.1%
45 1
0.1%
53 1
0.1%
71 1
0.1%
79 1
0.1%
ValueCountFrequency (%)
820 1
0.1%
658 1
0.1%
641 1
0.1%
639 1
0.1%
638 1
0.1%

ct_dx
Real number (ℝ)

MISSING 

Distinct208
Distinct (%)28.1%
Missing629
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean228.122807
Minimum18
Maximum449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:00.903515image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile152
Q1195
median225
Q3257
95-th percentile313
Maximum449
Range431
Interquartile range (IQR)62

Descriptive statistics

Standard deviation50.02480229
Coefficient of variation (CV)0.2192889126
Kurtosis1.52105894
Mean228.122807
Median Absolute Deviation (MAD)31
Skewness0.4346023131
Sum169039
Variance2502.480844
MonotonicityNot monotonic
2024-05-04T15:21:01.114686image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230 12
 
0.9%
233 11
 
0.8%
214 11
 
0.8%
194 11
 
0.8%
203 10
 
0.7%
216 10
 
0.7%
221 10
 
0.7%
222 10
 
0.7%
283 9
 
0.7%
237 9
 
0.7%
Other values (198) 638
46.6%
(Missing) 629
45.9%
ValueCountFrequency (%)
18 1
0.1%
63 1
0.1%
89 1
0.1%
103 1
0.1%
110 1
0.1%
ValueCountFrequency (%)
449 1
0.1%
429 1
0.1%
424 1
0.1%
403 1
0.1%
402 1
0.1%

hdl_dx
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)12.3%
Missing633
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean65.3202171
Minimum5
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:01.334342image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile38
Q154
median64
Q376
95-th percentile96
Maximum126
Range121
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.29988175
Coefficient of variation (CV)0.2648472789
Kurtosis0.4523984691
Mean65.3202171
Median Absolute Deviation (MAD)11
Skewness0.348696906
Sum48141
Variance299.2859086
MonotonicityNot monotonic
2024-05-04T15:21:01.533465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 25
 
1.8%
61 24
 
1.8%
55 21
 
1.5%
77 21
 
1.5%
65 21
 
1.5%
58 20
 
1.5%
57 20
 
1.5%
50 19
 
1.4%
63 19
 
1.4%
70 18
 
1.3%
Other values (81) 529
38.6%
(Missing) 633
46.2%
ValueCountFrequency (%)
5 1
0.1%
20 1
0.1%
25 1
0.1%
26 1
0.1%
27 2
0.1%
ValueCountFrequency (%)
126 1
0.1%
125 1
0.1%
122 1
0.1%
119 1
0.1%
113 1
0.1%

ldl_dx
Real number (ℝ)

MISSING 

Distinct285
Distinct (%)38.7%
Missing633
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean113.2550882
Minimum0
Maximum332
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:01.716065image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55
Q188
median111
Q3135
95-th percentile178.16
Maximum332
Range332
Interquartile range (IQR)47

Descriptive statistics

Standard deviation39.37004978
Coefficient of variation (CV)0.3476227904
Kurtosis2.793904895
Mean113.2550882
Median Absolute Deviation (MAD)23.6
Skewness0.854586223
Sum83469
Variance1550.00082
MonotonicityNot monotonic
2024-05-04T15:21:01.943990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106 12
 
0.9%
123 11
 
0.8%
96 9
 
0.7%
138 9
 
0.7%
125 9
 
0.7%
126 9
 
0.7%
124 9
 
0.7%
79 8
 
0.6%
120 8
 
0.6%
104 8
 
0.6%
Other values (275) 645
47.1%
(Missing) 633
46.2%
ValueCountFrequency (%)
0 1
0.1%
6.2 1
0.1%
23 2
0.1%
25.2 1
0.1%
28 1
0.1%
ValueCountFrequency (%)
332 1
0.1%
306 1
0.1%
296.8 1
0.1%
269 1
0.1%
243 2
0.1%

apob_dx
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)67.6%
Missing1225
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean132.0303448
Minimum35
Maximum263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:02.160274image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile78.14
Q1104
median130
Q3155
95-th percentile185.8
Maximum263
Range228
Interquartile range (IQR)51

Descriptive statistics

Standard deviation36.65145579
Coefficient of variation (CV)0.2775987281
Kurtosis0.9981163106
Mean132.0303448
Median Absolute Deviation (MAD)25
Skewness0.4454473686
Sum19144.4
Variance1343.329212
MonotonicityNot monotonic
2024-05-04T15:21:02.350059image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125 4
 
0.3%
101 4
 
0.3%
161 4
 
0.3%
103 4
 
0.3%
123 3
 
0.2%
118 3
 
0.2%
136 3
 
0.2%
141 3
 
0.2%
155 3
 
0.2%
130 3
 
0.2%
Other values (88) 111
 
8.1%
(Missing) 1225
89.4%
ValueCountFrequency (%)
35 1
0.1%
52.3 1
0.1%
57.5 1
0.1%
66.1 1
0.1%
69.1 1
0.1%
ValueCountFrequency (%)
263 1
0.1%
238 1
0.1%
237 1
0.1%
217 1
0.1%
203 1
0.1%

lep_dx
Real number (ℝ)

MISSING 

Distinct221
Distinct (%)99.5%
Missing1148
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean26.1574955
Minimum3.674
Maximum110.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:02.528860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.674
5-th percentile7.20535
Q114.3105
median21.75
Q334.28675
95-th percentile59.59885
Maximum110.46
Range106.786
Interquartile range (IQR)19.97625

Descriptive statistics

Standard deviation16.84594964
Coefficient of variation (CV)0.6440199767
Kurtosis3.061355101
Mean26.1574955
Median Absolute Deviation (MAD)8.991
Skewness1.48888641
Sum5806.964
Variance283.7860193
MonotonicityNot monotonic
2024-05-04T15:21:02.749156image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61.926 2
 
0.1%
13.052 1
 
0.1%
14.013 1
 
0.1%
20.248 1
 
0.1%
20.295 1
 
0.1%
11.928 1
 
0.1%
8.503 1
 
0.1%
3.674 1
 
0.1%
17.515 1
 
0.1%
41.606 1
 
0.1%
Other values (211) 211
 
15.4%
(Missing) 1148
83.8%
ValueCountFrequency (%)
3.674 1
0.1%
4.018 1
0.1%
4.084 1
0.1%
4.146 1
0.1%
5.307 1
0.1%
ValueCountFrequency (%)
110.46 1
0.1%
84.81 1
0.1%
76.965 1
0.1%
75.673 1
0.1%
69.742 1
0.1%

adipo_dx
Real number (ℝ)

MISSING 

Distinct264
Distinct (%)98.1%
Missing1101
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean10.15231599
Minimum2.496
Maximum25.296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:02.941222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.496
5-th percentile4.8442
Q17.272
median9.473
Q312.143
95-th percentile18.6926
Maximum25.296
Range22.8
Interquartile range (IQR)4.871

Descriptive statistics

Standard deviation4.140696186
Coefficient of variation (CV)0.4078572999
Kurtosis1.160437421
Mean10.15231599
Median Absolute Deviation (MAD)2.381
Skewness1.038695426
Sum2730.973
Variance17.1453649
MonotonicityNot monotonic
2024-05-04T15:21:03.144640image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.231 2
 
0.1%
8.852 2
 
0.1%
9.029 2
 
0.1%
7.895 2
 
0.1%
9.786 2
 
0.1%
7.919 1
 
0.1%
6.471 1
 
0.1%
17.552 1
 
0.1%
14.472 1
 
0.1%
8.495 1
 
0.1%
Other values (254) 254
 
18.5%
(Missing) 1101
80.4%
ValueCountFrequency (%)
2.496 1
0.1%
3.313 1
0.1%
3.527 1
0.1%
3.797 1
0.1%
3.955 1
0.1%
ValueCountFrequency (%)
25.296 1
0.1%
24.519 1
0.1%
22.588 1
0.1%
22.144 1
0.1%
21.591 1
0.1%

pcr_dx
Real number (ℝ)

MISSING 

Distinct111
Distinct (%)77.1%
Missing1226
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean191.0590764
Minimum0.41
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:03.351221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.41
5-th percentile1.1815
Q13.085
median4.93
Q38.9325
95-th percentile999
Maximum999
Range998.59
Interquartile range (IQR)5.8475

Descriptive statistics

Standard deviation389.4835657
Coefficient of variation (CV)2.038550448
Kurtosis0.626842013
Mean191.0590764
Median Absolute Deviation (MAD)2.62
Skewness1.618055264
Sum27512.507
Variance151697.448
MonotonicityNot monotonic
2024-05-04T15:21:03.558756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999 27
 
2.0%
4.6 2
 
0.1%
4.59 2
 
0.1%
2.46 2
 
0.1%
1.83 2
 
0.1%
4 2
 
0.1%
9.84 2
 
0.1%
6.34 2
 
0.1%
4.89 1
 
0.1%
2.51 1
 
0.1%
Other values (101) 101
 
7.4%
(Missing) 1226
89.5%
ValueCountFrequency (%)
0.41 1
0.1%
0.729 1
0.1%
0.937 1
0.1%
0.956 1
0.1%
0.965 1
0.1%
ValueCountFrequency (%)
999 27
2.0%
9.84 2
 
0.1%
9.75 1
 
0.1%
9.7 1
 
0.1%
9.68 1
 
0.1%

pgn_dx
Real number (ℝ)

MISSING 

Distinct152
Distinct (%)99.3%
Missing1217
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean175.2591569
Minimum56.389
Maximum372.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:03.758990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum56.389
5-th percentile76.9842
Q1126.11
median163.57
Q3210.87
95-th percentile335.364
Maximum372.86
Range316.471
Interquartile range (IQR)84.76

Descriptive statistics

Standard deviation71.49124287
Coefficient of variation (CV)0.4079173046
Kurtosis0.3226565601
Mean175.2591569
Median Absolute Deviation (MAD)40.39
Skewness0.8178334412
Sum26814.651
Variance5110.997807
MonotonicityNot monotonic
2024-05-04T15:21:03.979032image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135.58 2
 
0.1%
188.97 1
 
0.1%
210.87 1
 
0.1%
170.32 1
 
0.1%
151.12 1
 
0.1%
174.11 1
 
0.1%
136.25 1
 
0.1%
130.56 1
 
0.1%
222.38 1
 
0.1%
188.75 1
 
0.1%
Other values (142) 142
 
10.4%
(Missing) 1217
88.8%
ValueCountFrequency (%)
56.389 1
0.1%
62.314 1
0.1%
69.278 1
0.1%
70.688 1
0.1%
73.776 1
0.1%
ValueCountFrequency (%)
372.86 1
0.1%
356.04 1
0.1%
355.43 1
0.1%
348.04 1
0.1%
344.1 1
0.1%

e2_dx
Real number (ℝ)

MISSING 

Distinct163
Distinct (%)99.4%
Missing1206
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean18546.69573
Minimum2584.3
Maximum67230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:04.188582image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2584.3
5-th percentile7030.095
Q112140.75
median16955.5
Q322278.5
95-th percentile33623.5
Maximum67230
Range64645.7
Interquartile range (IQR)10137.75

Descriptive statistics

Standard deviation10234.08745
Coefficient of variation (CV)0.5518011185
Kurtosis7.303366532
Mean18546.69573
Median Absolute Deviation (MAD)5199.5
Skewness2.101931354
Sum3041658.1
Variance104736545.9
MonotonicityNot monotonic
2024-05-04T15:21:04.420349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12839 2
 
0.1%
13313 1
 
0.1%
14648 1
 
0.1%
20032 1
 
0.1%
24474 1
 
0.1%
14792 1
 
0.1%
9356.6 1
 
0.1%
21653 1
 
0.1%
27115 1
 
0.1%
14924 1
 
0.1%
Other values (153) 153
 
11.2%
(Missing) 1206
88.0%
ValueCountFrequency (%)
2584.3 1
0.1%
2869.8 1
0.1%
4419.8 1
0.1%
5219.8 1
0.1%
6234.3 1
0.1%
ValueCountFrequency (%)
67230 1
0.1%
66192 1
0.1%
65622 1
0.1%
48100 1
0.1%
38472 1
0.1%

ins_madre_parto
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)83.3%
Missing1316
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean15.68148148
Minimum3
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:04.669868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.73
Q17.625
median11.7
Q316.3
95-th percentile33.82
Maximum102
Range99
Interquartile range (IQR)8.675

Descriptive statistics

Standard deviation15.47822663
Coefficient of variation (CV)0.9870385429
Kurtosis18.67848724
Mean15.68148148
Median Absolute Deviation (MAD)4.4
Skewness3.836230436
Sum846.8
Variance239.5754997
MonotonicityNot monotonic
2024-05-04T15:21:04.854649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
16.3 2
 
0.1%
8 2
 
0.1%
12.1 2
 
0.1%
9.4 2
 
0.1%
9.2 2
 
0.1%
5 2
 
0.1%
11.7 2
 
0.1%
15.5 2
 
0.1%
4.8 2
 
0.1%
10.9 1
 
0.1%
Other values (35) 35
 
2.6%
(Missing) 1316
96.1%
ValueCountFrequency (%)
3 1
0.1%
4.4 1
0.1%
4.6 1
0.1%
4.8 2
0.1%
5 2
0.1%
ValueCountFrequency (%)
102 1
0.1%
58 1
0.1%
39.8 1
0.1%
30.6 1
0.1%
29.2 1
0.1%

gluc_madre_parto
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)58.9%
Missing1314
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean83.17857143
Minimum64
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:05.065162image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile66
Q175
median82
Q385.75
95-th percentile113
Maximum120
Range56
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation13.07336938
Coefficient of variation (CV)0.157172324
Kurtosis1.268742299
Mean83.17857143
Median Absolute Deviation (MAD)7
Skewness1.163728518
Sum4658
Variance170.912987
MonotonicityNot monotonic
2024-05-04T15:21:05.236431image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
85 5
 
0.4%
75 5
 
0.4%
83 5
 
0.4%
79 4
 
0.3%
82 3
 
0.2%
78 3
 
0.2%
73 2
 
0.1%
71 2
 
0.1%
84 2
 
0.1%
66 2
 
0.1%
Other values (23) 23
 
1.7%
(Missing) 1314
95.9%
ValueCountFrequency (%)
64 1
0.1%
65 1
0.1%
66 2
0.1%
67 1
0.1%
68 1
0.1%
ValueCountFrequency (%)
120 1
0.1%
118 1
0.1%
116 1
0.1%
112 1
0.1%
106 1
0.1%

tg_madre_parto
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)91.1%
Missing1314
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean311.3214286
Minimum159
Maximum829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:05.446408image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum159
5-th percentile182
Q1242.75
median281
Q3349.25
95-th percentile568
Maximum829
Range670
Interquartile range (IQR)106.5

Descriptive statistics

Standard deviation128.2041138
Coefficient of variation (CV)0.4118062622
Kurtosis6.732166807
Mean311.3214286
Median Absolute Deviation (MAD)51.5
Skewness2.36476098
Sum17434
Variance16436.29481
MonotonicityNot monotonic
2024-05-04T15:21:06.020491image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250 2
 
0.1%
255 2
 
0.1%
355 2
 
0.1%
239 2
 
0.1%
279 2
 
0.1%
228 1
 
0.1%
446 1
 
0.1%
254 1
 
0.1%
302 1
 
0.1%
217 1
 
0.1%
Other values (41) 41
 
3.0%
(Missing) 1314
95.9%
ValueCountFrequency (%)
159 1
0.1%
168 1
0.1%
179 1
0.1%
183 1
0.1%
185 1
0.1%
ValueCountFrequency (%)
829 1
0.1%
757 1
0.1%
661 1
0.1%
537 1
0.1%
446 1
0.1%

ct_madre_parto
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)89.3%
Missing1314
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean248.8035714
Minimum159
Maximum461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:06.219756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum159
5-th percentile178.75
Q1210
median238.5
Q3270.5
95-th percentile367
Maximum461
Range302
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation62.76838221
Coefficient of variation (CV)0.252280873
Kurtosis3.620301451
Mean248.8035714
Median Absolute Deviation (MAD)31.5
Skewness1.629444676
Sum13933
Variance3939.869805
MonotonicityNot monotonic
2024-05-04T15:21:06.426281image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 2
 
0.1%
214 2
 
0.1%
269 2
 
0.1%
261 2
 
0.1%
211 2
 
0.1%
283 2
 
0.1%
254 1
 
0.1%
184 1
 
0.1%
256 1
 
0.1%
230 1
 
0.1%
Other values (40) 40
 
2.9%
(Missing) 1314
95.9%
ValueCountFrequency (%)
159 1
0.1%
160 1
0.1%
172 1
0.1%
181 1
0.1%
182 1
0.1%
ValueCountFrequency (%)
461 1
0.1%
456 1
0.1%
421 1
0.1%
349 1
0.1%
322 1
0.1%

hdl_madre_parto
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)64.3%
Missing1314
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean66.75
Minimum39
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:06.600790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile48
Q157.75
median66
Q374.5
95-th percentile90.25
Maximum97
Range58
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation13.18159874
Coefficient of variation (CV)0.1974771347
Kurtosis-0.4735434609
Mean66.75
Median Absolute Deviation (MAD)8.5
Skewness0.2591420535
Sum3738
Variance173.7545455
MonotonicityNot monotonic
2024-05-04T15:21:06.765639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
66 4
 
0.3%
60 3
 
0.2%
52 3
 
0.2%
73 3
 
0.2%
71 2
 
0.1%
59 2
 
0.1%
58 2
 
0.1%
48 2
 
0.1%
62 2
 
0.1%
64 2
 
0.1%
Other values (26) 31
 
2.3%
(Missing) 1314
95.9%
ValueCountFrequency (%)
39 1
0.1%
45 1
0.1%
48 2
0.1%
49 1
0.1%
50 1
0.1%
ValueCountFrequency (%)
97 1
0.1%
91 2
0.1%
90 1
0.1%
89 1
0.1%
87 1
0.1%

ldl_madre_parto
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)82.1%
Missing1314
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean119.7857143
Minimum50
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:06.952707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile61.25
Q190.9
median110.5
Q3137.25
95-th percentile192.5
Maximum312
Range262
Interquartile range (IQR)46.35

Descriptive statistics

Standard deviation47.88419146
Coefficient of variation (CV)0.399748766
Kurtosis4.470856668
Mean119.7857143
Median Absolute Deviation (MAD)23.5
Skewness1.655360525
Sum6708
Variance2292.895792
MonotonicityNot monotonic
2024-05-04T15:21:07.157493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
50 2
 
0.1%
107 2
 
0.1%
134 2
 
0.1%
63 2
 
0.1%
98 2
 
0.1%
112 2
 
0.1%
144 2
 
0.1%
120 2
 
0.1%
127 2
 
0.1%
135 2
 
0.1%
Other values (36) 36
 
2.6%
(Missing) 1314
95.9%
ValueCountFrequency (%)
50 2
0.1%
56 1
0.1%
63 2
0.1%
67 1
0.1%
77 1
0.1%
ValueCountFrequency (%)
312 1
0.1%
261 1
0.1%
197 1
0.1%
191 1
0.1%
190 1
0.1%

pgn_madre_parto
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)100.0%
Missing1335
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean425.5575429
Minimum64.834
Maximum782.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:07.317315image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum64.834
5-th percentile220.802
Q1325.35
median402.04
Q3503.96
95-th percentile735.802
Maximum782.98
Range718.146
Interquartile range (IQR)178.61

Descriptive statistics

Standard deviation160.5667461
Coefficient of variation (CV)0.3773091295
Kurtosis0.3762538506
Mean425.5575429
Median Absolute Deviation (MAD)85.5
Skewness0.5138826786
Sum14894.514
Variance25781.67994
MonotonicityNot monotonic
2024-05-04T15:21:07.497221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
782.98 1
 
0.1%
372.78 1
 
0.1%
729.88 1
 
0.1%
402.78 1
 
0.1%
286.5 1
 
0.1%
461.02 1
 
0.1%
222.92 1
 
0.1%
64.834 1
 
0.1%
372.26 1
 
0.1%
412.24 1
 
0.1%
Other values (25) 25
 
1.8%
(Missing) 1335
97.4%
ValueCountFrequency (%)
64.834 1
0.1%
215.86 1
0.1%
222.92 1
0.1%
265.84 1
0.1%
281.72 1
0.1%
ValueCountFrequency (%)
782.98 1
0.1%
749.62 1
0.1%
729.88 1
0.1%
718.46 1
0.1%
646.14 1
0.1%

e2_madre_parto
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1330
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean24964.445
Minimum4446
Maximum51872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:07.665513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4446
5-th percentile8069.175
Q116810.5
median22779.6
Q332838.4
95-th percentile46542.6
Maximum51872
Range47426
Interquartile range (IQR)16027.9

Descriptive statistics

Standard deviation12113.58603
Coefficient of variation (CV)0.4852335402
Kurtosis-0.505306619
Mean24964.445
Median Absolute Deviation (MAD)8269.75
Skewness0.4465463342
Sum998577.8
Variance146738966.4
MonotonicityNot monotonic
2024-05-04T15:21:07.844009image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
10571.6 1
 
0.1%
22926.4 1
 
0.1%
21764.4 1
 
0.1%
22606 1
 
0.1%
17820.8 1
 
0.1%
8991.5 1
 
0.1%
24881.6 1
 
0.1%
33302.8 1
 
0.1%
51872 1
 
0.1%
45696 1
 
0.1%
Other values (30) 30
 
2.2%
(Missing) 1330
97.1%
ValueCountFrequency (%)
4446 1
0.1%
6837.5 1
0.1%
8134 1
0.1%
8991.5 1
0.1%
10571.6 1
0.1%
ValueCountFrequency (%)
51872 1
0.1%
47960 1
0.1%
46468 1
0.1%
45696 1
0.1%
41928 1
0.1%

lep_madre_parto
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)100.0%
Missing1315
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean19.09561818
Minimum2.839
Maximum45.772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:08.037545image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.839
5-th percentile6.0949
Q112.452
median16.907
Q324.809
95-th percentile37.8761
Maximum45.772
Range42.933
Interquartile range (IQR)12.357

Descriptive statistics

Standard deviation9.678706662
Coefficient of variation (CV)0.5068548486
Kurtosis0.5966122458
Mean19.09561818
Median Absolute Deviation (MAD)6.282
Skewness0.8230484156
Sum1050.259
Variance93.67736265
MonotonicityNot monotonic
2024-05-04T15:21:08.224074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.793 1
 
0.1%
19.619 1
 
0.1%
10.541 1
 
0.1%
21.439 1
 
0.1%
32.322 1
 
0.1%
25.196 1
 
0.1%
32.302 1
 
0.1%
28.342 1
 
0.1%
43.242 1
 
0.1%
25.293 1
 
0.1%
Other values (45) 45
 
3.3%
(Missing) 1315
96.0%
ValueCountFrequency (%)
2.839 1
0.1%
4.157 1
0.1%
4.522 1
0.1%
6.769 1
0.1%
7.704 1
0.1%
ValueCountFrequency (%)
45.772 1
0.1%
43.242 1
0.1%
42.263 1
0.1%
35.996 1
0.1%
32.322 1
0.1%

adipo_madre_parto
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)96.3%
Missing1316
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean10.41609259
Minimum4.163
Maximum26.292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:08.399459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.163
5-th percentile5.73
Q17.9975
median9.7255
Q311.986
95-th percentile18.24295
Maximum26.292
Range22.129
Interquartile range (IQR)3.9885

Descriptive statistics

Standard deviation4.14938442
Coefficient of variation (CV)0.3983628586
Kurtosis3.466500964
Mean10.41609259
Median Absolute Deviation (MAD)2.167
Skewness1.578448615
Sum562.469
Variance17.21739107
MonotonicityNot monotonic
2024-05-04T15:21:08.631384image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.995 2
 
0.1%
5.73 2
 
0.1%
5.114 1
 
0.1%
10.43 1
 
0.1%
6.282 1
 
0.1%
6.809 1
 
0.1%
10.11 1
 
0.1%
4.163 1
 
0.1%
7.997 1
 
0.1%
9.3 1
 
0.1%
Other values (42) 42
 
3.1%
(Missing) 1316
96.1%
ValueCountFrequency (%)
4.163 1
0.1%
5.114 1
0.1%
5.73 2
0.1%
5.787 1
0.1%
5.927 1
0.1%
ValueCountFrequency (%)
26.292 1
0.1%
20.897 1
0.1%
18.293 1
0.1%
18.216 1
0.1%
17.784 1
0.1%

ins_cordon_parto
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1319
Missing (%)96.3%
Memory size53.7 KiB

gluc_cordon_parto
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)64.0%
Missing1320
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean70.24
Minimum47
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:08.810875image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile50.9
Q161.25
median68
Q376.5
95-th percentile95.4
Maximum143
Range96
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation16.25003611
Coefficient of variation (CV)0.2313501724
Kurtosis7.192045419
Mean70.24
Median Absolute Deviation (MAD)7.5
Skewness2.025195359
Sum3512
Variance264.0636735
MonotonicityNot monotonic
2024-05-04T15:21:08.997397image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
69 5
 
0.4%
68 4
 
0.3%
64 3
 
0.2%
66 3
 
0.2%
77 2
 
0.1%
50 2
 
0.1%
84 2
 
0.1%
62 2
 
0.1%
60 2
 
0.1%
67 2
 
0.1%
Other values (22) 23
 
1.7%
(Missing) 1320
96.4%
ValueCountFrequency (%)
47 1
0.1%
50 2
0.1%
52 1
0.1%
53 2
0.1%
54 1
0.1%
ValueCountFrequency (%)
143 1
0.1%
102 1
0.1%
99 1
0.1%
91 1
0.1%
88 1
0.1%

tg_cordon_parto
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)54.0%
Missing1320
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean25.68
Minimum10
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:09.145458image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12.45
Q116.25
median22
Q329.75
95-th percentile40.1
Maximum156
Range146
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation20.4744141
Coefficient of variation (CV)0.7972902686
Kurtosis34.74208405
Mean25.68
Median Absolute Deviation (MAD)6
Skewness5.457633556
Sum1284
Variance419.2016327
MonotonicityNot monotonic
2024-05-04T15:21:09.302424image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
22 4
 
0.3%
30 4
 
0.3%
15 4
 
0.3%
25 3
 
0.2%
21 3
 
0.2%
16 3
 
0.2%
12 2
 
0.1%
27 2
 
0.1%
17 2
 
0.1%
20 2
 
0.1%
Other values (17) 21
 
1.5%
(Missing) 1320
96.4%
ValueCountFrequency (%)
10 1
 
0.1%
12 2
0.1%
13 2
0.1%
14 1
 
0.1%
15 4
0.3%
ValueCountFrequency (%)
156 1
0.1%
45 1
0.1%
41 1
0.1%
39 1
0.1%
35 2
0.1%

ct_cordon_parto
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)72.0%
Missing1320
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean64.32
Minimum31
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:09.470743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile37.45
Q148.25
median61
Q374
95-th percentile104.1
Maximum123
Range92
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation21.14521222
Coefficient of variation (CV)0.3287501901
Kurtosis0.3568628931
Mean64.32
Median Absolute Deviation (MAD)13
Skewness0.8148358995
Sum3216
Variance447.12
MonotonicityNot monotonic
2024-05-04T15:21:09.667602image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
70 3
 
0.2%
54 3
 
0.2%
85 3
 
0.2%
74 2
 
0.1%
46 2
 
0.1%
38 2
 
0.1%
55 2
 
0.1%
63 2
 
0.1%
56 2
 
0.1%
61 2
 
0.1%
Other values (26) 27
 
2.0%
(Missing) 1320
96.4%
ValueCountFrequency (%)
31 1
0.1%
34 1
0.1%
37 1
0.1%
38 2
0.1%
42 1
0.1%
ValueCountFrequency (%)
123 1
0.1%
114 1
0.1%
105 1
0.1%
103 1
0.1%
100 1
0.1%

hdl_cordon_parto
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)58.0%
Missing1320
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean32.14
Minimum14
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:09.856405image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile16.9
Q123.25
median29.5
Q338.5
95-th percentile53.75
Maximum66
Range52
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation12.01361473
Coefficient of variation (CV)0.3737901284
Kurtosis0.5758360703
Mean32.14
Median Absolute Deviation (MAD)7.5
Skewness0.8734278797
Sum1607
Variance144.3269388
MonotonicityNot monotonic
2024-05-04T15:21:10.117202image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
29 5
 
0.4%
20 4
 
0.3%
37 3
 
0.2%
43 3
 
0.2%
25 3
 
0.2%
23 2
 
0.1%
26 2
 
0.1%
32 2
 
0.1%
39 2
 
0.1%
31 2
 
0.1%
Other values (19) 22
 
1.6%
(Missing) 1320
96.4%
ValueCountFrequency (%)
14 2
0.1%
16 1
 
0.1%
18 1
 
0.1%
19 1
 
0.1%
20 4
0.3%
ValueCountFrequency (%)
66 1
0.1%
63 1
0.1%
56 1
0.1%
51 1
0.1%
48 1
0.1%

ldl_cordon_parto
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)50.0%
Missing1320
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean27.088
Minimum11.8
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:10.297387image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum11.8
5-th percentile14
Q120
median26
Q332
95-th percentile42.2
Maximum66
Range54.2
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.84812859
Coefficient of variation (CV)0.400477281
Kurtosis3.322465097
Mean27.088
Median Absolute Deviation (MAD)6
Skewness1.454418405
Sum1354.4
Variance117.6818939
MonotonicityNot monotonic
2024-05-04T15:21:10.496904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
26 5
 
0.4%
24 4
 
0.3%
21 3
 
0.2%
35 3
 
0.2%
28 3
 
0.2%
32 3
 
0.2%
15 3
 
0.2%
36 3
 
0.2%
23 2
 
0.1%
39 2
 
0.1%
Other values (15) 19
 
1.4%
(Missing) 1320
96.4%
ValueCountFrequency (%)
11.8 1
 
0.1%
13 1
 
0.1%
14 2
0.1%
15 3
0.2%
16 1
 
0.1%
ValueCountFrequency (%)
66 1
0.1%
60 1
0.1%
44 1
0.1%
40 1
0.1%
39 2
0.1%

pgn_cordon_parto
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing1359
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean518.2018182
Minimum354.06
Maximum724.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:10.742193image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum354.06
5-th percentile355.08
Q1382.36
median557.56
Q3605.69
95-th percentile685.16
Maximum724.6
Range370.54
Interquartile range (IQR)223.33

Descriptive statistics

Standard deviation130.3027006
Coefficient of variation (CV)0.251451647
Kurtosis-1.366633847
Mean518.2018182
Median Absolute Deviation (MAD)88.16
Skewness-0.04819652796
Sum5700.22
Variance16978.7938
MonotonicityNot monotonic
2024-05-04T15:21:10.885487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
724.6 1
 
0.1%
525.16 1
 
0.1%
574.28 1
 
0.1%
356.1 1
 
0.1%
375.38 1
 
0.1%
389.34 1
 
0.1%
557.56 1
 
0.1%
637.1 1
 
0.1%
354.06 1
 
0.1%
645.72 1
 
0.1%
(Missing) 1359
99.2%
ValueCountFrequency (%)
354.06 1
0.1%
356.1 1
0.1%
375.38 1
0.1%
389.34 1
0.1%
525.16 1
0.1%
ValueCountFrequency (%)
724.6 1
0.1%
645.72 1
0.1%
637.1 1
0.1%
574.28 1
0.1%
560.92 1
0.1%

e2_cordon_parto
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1330
Missing (%)97.1%
Memory size53.7 KiB

lep_cordon_parto
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1318
Missing (%)96.2%
Memory size53.7 KiB

adipo_cordon_parto
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1319
Missing (%)96.3%
Memory size53.7 KiB

ins_pp
Real number (ℝ)

MISSING 

Distinct127
Distinct (%)49.0%
Missing1111
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean10.41042471
Minimum2.3
Maximum78.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:11.111708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile3.8
Q14.2
median7
Q312.6
95-th percentile26.33
Maximum78.6
Range76.3
Interquartile range (IQR)8.4

Descriptive statistics

Standard deviation9.467582768
Coefficient of variation (CV)0.9094329032
Kurtosis13.82811874
Mean10.41042471
Median Absolute Deviation (MAD)3.2
Skewness3.035892215
Sum2696.3
Variance89.63512346
MonotonicityNot monotonic
2024-05-04T15:21:11.347512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8 48
 
3.5%
6 10
 
0.7%
7 8
 
0.6%
6.8 7
 
0.5%
9 6
 
0.4%
5.4 6
 
0.4%
9.1 5
 
0.4%
5.2 5
 
0.4%
4.6 5
 
0.4%
6.7 4
 
0.3%
Other values (117) 155
 
11.3%
(Missing) 1111
81.1%
ValueCountFrequency (%)
2.3 1
 
0.1%
2.6 1
 
0.1%
2.9 1
 
0.1%
3.2 3
0.2%
3.5 1
 
0.1%
ValueCountFrequency (%)
78.6 1
0.1%
58.7 1
0.1%
50.2 1
0.1%
41.7 1
0.1%
40 1
0.1%

gluc_pp
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)14.8%
Missing804
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean97.16943463
Minimum7
Maximum309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:11.630567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile79
Q187
median94
Q3103
95-th percentile122.75
Maximum309
Range302
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.98935805
Coefficient of variation (CV)0.195425219
Kurtosis45.33924801
Mean97.16943463
Median Absolute Deviation (MAD)7
Skewness4.629334957
Sum54997.9
Variance360.595719
MonotonicityNot monotonic
2024-05-04T15:21:11.858539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87 25
 
1.8%
92 24
 
1.8%
94 21
 
1.5%
88 21
 
1.5%
90 21
 
1.5%
93 20
 
1.5%
84 20
 
1.5%
95 20
 
1.5%
100 19
 
1.4%
89 18
 
1.3%
Other values (74) 357
26.1%
(Missing) 804
58.7%
ValueCountFrequency (%)
7 1
 
0.1%
66 1
 
0.1%
67 1
 
0.1%
69 1
 
0.1%
70 3
0.2%
ValueCountFrequency (%)
309 1
0.1%
285 1
0.1%
184 1
0.1%
176 1
0.1%
165 1
0.1%

crea_pp
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)5.4%
Missing1168
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean0.812970297
Minimum0.3
Maximum1.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:12.075790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.6
Q10.7925
median0.8
Q30.9
95-th percentile1
Maximum1.1
Range0.8
Interquartile range (IQR)0.1075

Descriptive statistics

Standard deviation0.1253019799
Coefficient of variation (CV)0.1541286077
Kurtosis3.162984597
Mean0.812970297
Median Absolute Deviation (MAD)0.1
Skewness-0.8929271659
Sum164.22
Variance0.01570058618
MonotonicityNot monotonic
2024-05-04T15:21:12.332649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.8 73
 
5.3%
0.9 60
 
4.4%
0.7 34
 
2.5%
1 12
 
0.9%
0.6 11
 
0.8%
1.1 5
 
0.4%
0.3 3
 
0.2%
0.5 1
 
0.1%
0.79 1
 
0.1%
0.74 1
 
0.1%
(Missing) 1168
85.3%
ValueCountFrequency (%)
0.3 3
 
0.2%
0.5 1
 
0.1%
0.6 11
 
0.8%
0.7 34
2.5%
0.74 1
 
0.1%
ValueCountFrequency (%)
1.1 5
 
0.4%
1 12
 
0.9%
0.99 1
 
0.1%
0.9 60
4.4%
0.8 73
5.3%

urico_pp
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)23.4%
Missing1173
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean4.822538071
Minimum2
Maximum8.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:12.587847image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.18
Q14.2
median4.8
Q35.5
95-th percentile6.42
Maximum8.1
Range6.1
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.010843079
Coefficient of variation (CV)0.2096081075
Kurtosis0.1491888027
Mean4.822538071
Median Absolute Deviation (MAD)0.6
Skewness0.08962127077
Sum950.04
Variance1.021803729
MonotonicityNot monotonic
2024-05-04T15:21:12.771168image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
5.1 12
 
0.9%
4.2 11
 
0.8%
5.4 10
 
0.7%
4.3 10
 
0.7%
4.9 10
 
0.7%
4.5 9
 
0.7%
4.4 8
 
0.6%
5.8 7
 
0.5%
5 7
 
0.5%
3.5 7
 
0.5%
Other values (36) 106
 
7.7%
(Missing) 1173
85.6%
ValueCountFrequency (%)
2 1
 
0.1%
2.6 1
 
0.1%
2.7 2
0.1%
2.8 1
 
0.1%
2.9 3
0.2%
ValueCountFrequency (%)
8.1 1
0.1%
7.4 1
0.1%
7.1 1
0.1%
7 2
0.1%
6.7 1
0.1%

tg_pp
Real number (ℝ)

MISSING 

Distinct175
Distinct (%)57.9%
Missing1068
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean150.2781457
Minimum34
Maximum478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:12.962180image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile54
Q188.25
median128.5
Q3195.75
95-th percentile315.85
Maximum478
Range444
Interquartile range (IQR)107.5

Descriptive statistics

Standard deviation85.22981704
Coefficient of variation (CV)0.5671471168
Kurtosis2.330760918
Mean150.2781457
Median Absolute Deviation (MAD)48
Skewness1.407220808
Sum45384
Variance7264.121713
MonotonicityNot monotonic
2024-05-04T15:21:13.139756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109 4
 
0.3%
135 4
 
0.3%
157 4
 
0.3%
209 4
 
0.3%
196 4
 
0.3%
125 4
 
0.3%
64 4
 
0.3%
114 4
 
0.3%
108 4
 
0.3%
69 4
 
0.3%
Other values (165) 262
 
19.1%
(Missing) 1068
78.0%
ValueCountFrequency (%)
34 2
0.1%
38 2
0.1%
40 1
0.1%
45 1
0.1%
46 1
0.1%
ValueCountFrequency (%)
478 1
0.1%
476 1
0.1%
468 1
0.1%
462 1
0.1%
434 1
0.1%

ct_pp
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)40.1%
Missing1063
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean187.1824104
Minimum79
Maximum492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:13.717728image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum79
5-th percentile131.3
Q1162
median186
Q3207
95-th percentile249.5
Maximum492
Range413
Interquartile range (IQR)45

Descriptive statistics

Standard deviation41.21019708
Coefficient of variation (CV)0.2201606283
Kurtosis10.24603387
Mean187.1824104
Median Absolute Deviation (MAD)23
Skewness1.709985496
Sum57465
Variance1698.280343
MonotonicityNot monotonic
2024-05-04T15:21:13.944621image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198 7
 
0.5%
185 7
 
0.5%
206 7
 
0.5%
188 6
 
0.4%
200 6
 
0.4%
163 6
 
0.4%
179 6
 
0.4%
165 5
 
0.4%
159 5
 
0.4%
166 5
 
0.4%
Other values (113) 247
 
18.0%
(Missing) 1063
77.6%
ValueCountFrequency (%)
79 1
 
0.1%
102 2
0.1%
111 1
 
0.1%
112 1
 
0.1%
115 3
0.2%
ValueCountFrequency (%)
492 1
0.1%
368 1
0.1%
327 1
0.1%
289 1
0.1%
280 1
0.1%

hdl_pp
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)20.1%
Missing1067
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean46.18811881
Minimum10
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:14.166076image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile28.1
Q137
median46
Q354
95-th percentile67
Maximum89
Range79
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.54056692
Coefficient of variation (CV)0.2715106664
Kurtosis0.3926321094
Mean46.18811881
Median Absolute Deviation (MAD)9
Skewness0.3972920415
Sum13995
Variance157.2658186
MonotonicityNot monotonic
2024-05-04T15:21:14.382025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 16
 
1.2%
41 14
 
1.0%
51 13
 
0.9%
47 13
 
0.9%
44 13
 
0.9%
37 12
 
0.9%
31 10
 
0.7%
50 9
 
0.7%
49 9
 
0.7%
46 9
 
0.7%
Other values (51) 185
 
13.5%
(Missing) 1067
77.9%
ValueCountFrequency (%)
10 1
0.1%
14 1
0.1%
20 1
0.1%
21 1
0.1%
22 1
0.1%
ValueCountFrequency (%)
89 1
0.1%
87 1
0.1%
79 2
0.1%
78 1
0.1%
76 2
0.1%

ldl_pp
Real number (ℝ)

MISSING 

Distinct145
Distinct (%)48.2%
Missing1069
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean110.6584718
Minimum30.4
Maximum419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:14.570689image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum30.4
5-th percentile65
Q190
median106.4
Q3130
95-th percentile158
Maximum419
Range388.6
Interquartile range (IQR)40

Descriptive statistics

Standard deviation36.02219366
Coefficient of variation (CV)0.3255258553
Kurtosis19.02931265
Mean110.6584718
Median Absolute Deviation (MAD)19.6
Skewness2.646727909
Sum33308.2
Variance1297.598436
MonotonicityNot monotonic
2024-05-04T15:21:14.777222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 9
 
0.7%
89 8
 
0.6%
131 7
 
0.5%
120 6
 
0.4%
91 6
 
0.4%
115 5
 
0.4%
101 5
 
0.4%
111 5
 
0.4%
94 5
 
0.4%
99 5
 
0.4%
Other values (135) 240
 
17.5%
(Missing) 1069
78.0%
ValueCountFrequency (%)
30.4 1
0.1%
32.4 1
0.1%
41 1
0.1%
44.8 1
0.1%
48 1
0.1%
ValueCountFrequency (%)
419 1
0.1%
272 1
0.1%
267 1
0.1%
192.2 1
0.1%
190 1
0.1%

apob_pp
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)67.7%
Missing1184
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean100.0623656
Minimum35
Maximum193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:14.970207image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile63.05
Q183.7
median100
Q3116
95-th percentile137
Maximum193
Range158
Interquartile range (IQR)32.3

Descriptive statistics

Standard deviation24.74825209
Coefficient of variation (CV)0.2473282731
Kurtosis0.5555783099
Mean100.0623656
Median Absolute Deviation (MAD)16.2
Skewness0.2924197276
Sum18611.6
Variance612.4759814
MonotonicityNot monotonic
2024-05-04T15:21:15.177470image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102 6
 
0.4%
116 5
 
0.4%
101 5
 
0.4%
107 5
 
0.4%
137 4
 
0.3%
110 4
 
0.3%
120 4
 
0.3%
122 3
 
0.2%
103 3
 
0.2%
125 3
 
0.2%
Other values (116) 144
 
10.5%
(Missing) 1184
86.4%
ValueCountFrequency (%)
35 1
0.1%
45.3 1
0.1%
46.6 1
0.1%
49 1
0.1%
52.9 1
0.1%
ValueCountFrequency (%)
193 1
0.1%
166 1
0.1%
158 1
0.1%
152 1
0.1%
151 2
0.1%

lep_pp
Real number (ℝ)

MISSING 

Distinct235
Distinct (%)100.0%
Missing1135
Missing (%)82.8%
Infinite0
Infinite (%)0.0%
Mean20.96702979
Minimum1.282
Maximum73.087
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:15.380904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.282
5-th percentile4.7575
Q111.517
median18.37
Q327.7655
95-th percentile42.9133
Maximum73.087
Range71.805
Interquartile range (IQR)16.2485

Descriptive statistics

Standard deviation12.84314315
Coefficient of variation (CV)0.612539939
Kurtosis1.593804007
Mean20.96702979
Median Absolute Deviation (MAD)7.735
Skewness1.122672106
Sum4927.252
Variance164.9463259
MonotonicityNot monotonic
2024-05-04T15:21:15.569622image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.408 1
 
0.1%
16.707 1
 
0.1%
30.589 1
 
0.1%
42.871 1
 
0.1%
11.626 1
 
0.1%
22.59 1
 
0.1%
43.012 1
 
0.1%
8.99 1
 
0.1%
18.428 1
 
0.1%
10.399 1
 
0.1%
Other values (225) 225
 
16.4%
(Missing) 1135
82.8%
ValueCountFrequency (%)
1.282 1
0.1%
1.331 1
0.1%
2.041 1
0.1%
2.104 1
0.1%
2.555 1
0.1%
ValueCountFrequency (%)
73.087 1
0.1%
69.244 1
0.1%
60.7 1
0.1%
56.384 1
0.1%
55.867 1
0.1%

adipo_pp
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)99.2%
Missing1128
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean9.405727273
Minimum2.183
Maximum27.378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:15.775708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.183
5-th percentile4.5802
Q16.9055
median8.753
Q311.2505
95-th percentile16.00465
Maximum27.378
Range25.195
Interquartile range (IQR)4.345

Descriptive statistics

Standard deviation3.635605639
Coefficient of variation (CV)0.3865310501
Kurtosis2.840641578
Mean9.405727273
Median Absolute Deviation (MAD)2.046
Skewness1.197176204
Sum2276.186
Variance13.21762837
MonotonicityNot monotonic
2024-05-04T15:21:15.957670image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.054 2
 
0.1%
6.1 2
 
0.1%
5.095 1
 
0.1%
9.013 1
 
0.1%
4.366 1
 
0.1%
13.551 1
 
0.1%
11.709 1
 
0.1%
13.415 1
 
0.1%
5.66 1
 
0.1%
8.178 1
 
0.1%
Other values (230) 230
 
16.8%
(Missing) 1128
82.3%
ValueCountFrequency (%)
2.183 1
0.1%
2.296 1
0.1%
2.506 1
0.1%
2.624 1
0.1%
3.072 1
0.1%
ValueCountFrequency (%)
27.378 1
0.1%
22.086 1
0.1%
21.11 1
0.1%
21.042 1
0.1%
18.734 1
0.1%

pcr_pp
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)83.9%
Missing1190
Missing (%)86.9%
Infinite0
Infinite (%)0.0%
Mean106.6748111
Minimum0.268
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:16.154207image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.268
5-th percentile0.3843
Q10.92675
median2.075
Q35.68
95-th percentile999
Maximum999
Range998.732
Interquartile range (IQR)4.75325

Descriptive statistics

Standard deviation303.5826611
Coefficient of variation (CV)2.845870153
Kurtosis4.799396438
Mean106.6748111
Median Absolute Deviation (MAD)1.424
Skewness2.59492099
Sum19201.466
Variance92162.4321
MonotonicityNot monotonic
2024-05-04T15:21:16.352519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999 17
 
1.2%
1.53 4
 
0.3%
1.09 3
 
0.2%
0.943 2
 
0.1%
1.6 2
 
0.1%
1.26 2
 
0.1%
2.33 2
 
0.1%
3.14 2
 
0.1%
2.46 2
 
0.1%
1.08 2
 
0.1%
Other values (141) 142
 
10.4%
(Missing) 1190
86.9%
ValueCountFrequency (%)
0.268 1
0.1%
0.271 1
0.1%
0.285 1
0.1%
0.294 1
0.1%
0.297 1
0.1%
ValueCountFrequency (%)
999 17
1.2%
888 2
 
0.1%
16.7 1
 
0.1%
9.6 1
 
0.1%
9.17 1
 
0.1%

pgn_pp
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1350
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean4.7079
Minimum0.0885
Maximum35.296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:16.565780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.0885
5-th percentile0.09116
Q10.17005
median0.60105
Q33.02495
95-th percentile22.6097
Maximum35.296
Range35.2075
Interquartile range (IQR)2.8549

Descriptive statistics

Standard deviation9.187490229
Coefficient of variation (CV)1.951504966
Kurtosis6.340033748
Mean4.7079
Median Absolute Deviation (MAD)0.49975
Skewness2.514760676
Sum94.158
Variance84.40997671
MonotonicityNot monotonic
2024-05-04T15:21:16.820954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
35.296 1
 
0.1%
21.942 1
 
0.1%
0.615 1
 
0.1%
0.5871 1
 
0.1%
0.733 1
 
0.1%
0.0885 1
 
0.1%
2.3656 1
 
0.1%
5.003 1
 
0.1%
0.0913 1
 
0.1%
12.678 1
 
0.1%
Other values (10) 10
 
0.7%
(Missing) 1350
98.5%
ValueCountFrequency (%)
0.0885 1
0.1%
0.0913 1
0.1%
0.0937 1
0.1%
0.1089 1
0.1%
0.1291 1
0.1%
ValueCountFrequency (%)
35.296 1
0.1%
21.942 1
0.1%
12.678 1
0.1%
11.101 1
0.1%
5.003 1
0.1%

e2_pp
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing1363
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean152.1687143
Minimum8.7315
Maximum803.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:17.030934image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum8.7315
5-th percentile10.45005
Q131.885
median49.8715
Q369.564
95-th percentile586.2769
Maximum803.68
Range794.9485
Interquartile range (IQR)37.679

Descriptive statistics

Standard deviation288.3501292
Coefficient of variation (CV)1.894937015
Kurtosis6.836828445
Mean152.1687143
Median Absolute Deviation (MAD)29.1315
Skewness2.604876746
Sum1065.181
Variance83145.79701
MonotonicityNot monotonic
2024-05-04T15:21:17.218358image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
49.31 1
 
0.1%
49.8715 1
 
0.1%
14.46 1
 
0.1%
79.003 1
 
0.1%
803.68 1
 
0.1%
8.7315 1
 
0.1%
60.125 1
 
0.1%
(Missing) 1363
99.5%
ValueCountFrequency (%)
8.7315 1
0.1%
14.46 1
0.1%
49.31 1
0.1%
49.8715 1
0.1%
60.125 1
0.1%
ValueCountFrequency (%)
803.68 1
0.1%
79.003 1
0.1%
60.125 1
0.1%
49.8715 1
0.1%
49.31 1
0.1%

origen_px
Text

MISSING 

Distinct49
Distinct (%)3.9%
Missing118
Missing (%)8.6%
Memory size53.7 KiB
2024-05-04T15:21:17.438173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length18
Median length2
Mean length3.667731629
Min length2

Characters and Unicode

Total characters4592
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.4%

Sample

1st rowDF
2nd rowGuerrero
3rd rowDF
4th rowDF
5th rowDF
ValueCountFrequency (%)
df 875
63.2%
edo 64
 
4.6%
mex 60
 
4.3%
de 59
 
4.3%
yucatán 58
 
4.2%
edomex 48
 
3.5%
oaxaca 28
 
2.0%
puebla 23
 
1.7%
veracruz 22
 
1.6%
guerrero 20
 
1.4%
Other values (30) 127
 
9.2%
2024-05-04T15:21:18.045711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 897
19.5%
F 887
19.3%
e 298
 
6.5%
a 290
 
6.3%
o 222
 
4.8%
d 211
 
4.6%
M 158
 
3.4%
x 157
 
3.4%
c 148
 
3.2%
u 145
 
3.2%
Other values (43) 1179
25.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4592
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
D 897
19.5%
F 887
19.3%
e 298
 
6.5%
a 290
 
6.3%
o 222
 
4.8%
d 211
 
4.6%
M 158
 
3.4%
x 157
 
3.4%
c 148
 
3.2%
u 145
 
3.2%
Other values (43) 1179
25.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4592
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
D 897
19.5%
F 887
19.3%
e 298
 
6.5%
a 290
 
6.3%
o 222
 
4.8%
d 211
 
4.6%
M 158
 
3.4%
x 157
 
3.4%
c 148
 
3.2%
u 145
 
3.2%
Other values (43) 1179
25.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4592
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
D 897
19.5%
F 887
19.3%
e 298
 
6.5%
a 290
 
6.3%
o 222
 
4.8%
d 211
 
4.6%
M 158
 
3.4%
x 157
 
3.4%
c 148
 
3.2%
u 145
 
3.2%
Other values (43) 1179
25.7%

origen_padre
Text

MISSING 

Distinct83
Distinct (%)8.2%
Missing359
Missing (%)26.2%
Memory size53.7 KiB
2024-05-04T15:21:18.353208image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length18
Median length16
Mean length5.034619189
Min length2

Characters and Unicode

Total characters5090
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)3.3%

Sample

1st rowDF
2nd rowDF
3rd rowTlaxcala
4th rowMichoacan
5th rowGuanajuato
ValueCountFrequency (%)
df 451
40.0%
puebla 54
 
4.8%
edo 54
 
4.8%
oaxaca 53
 
4.7%
yucatán 50
 
4.4%
de 46
 
4.1%
mex 45
 
4.0%
guerrero 37
 
3.3%
guanajuato 31
 
2.8%
veracruz 30
 
2.7%
Other values (61) 276
24.5%
2024-05-04T15:21:18.803751image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 578
 
11.4%
D 481
 
9.4%
F 463
 
9.1%
e 348
 
6.8%
o 326
 
6.4%
c 270
 
5.3%
u 253
 
5.0%
r 201
 
3.9%
d 179
 
3.5%
M 152
 
3.0%
Other values (45) 1839
36.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5090
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 578
 
11.4%
D 481
 
9.4%
F 463
 
9.1%
e 348
 
6.8%
o 326
 
6.4%
c 270
 
5.3%
u 253
 
5.0%
r 201
 
3.9%
d 179
 
3.5%
M 152
 
3.0%
Other values (45) 1839
36.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5090
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 578
 
11.4%
D 481
 
9.4%
F 463
 
9.1%
e 348
 
6.8%
o 326
 
6.4%
c 270
 
5.3%
u 253
 
5.0%
r 201
 
3.9%
d 179
 
3.5%
M 152
 
3.0%
Other values (45) 1839
36.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5090
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 578
 
11.4%
D 481
 
9.4%
F 463
 
9.1%
e 348
 
6.8%
o 326
 
6.4%
c 270
 
5.3%
u 253
 
5.0%
r 201
 
3.9%
d 179
 
3.5%
M 152
 
3.0%
Other values (45) 1839
36.1%

origen_madre
Text

MISSING 

Distinct73
Distinct (%)7.1%
Missing349
Missing (%)25.5%
Memory size53.7 KiB
2024-05-04T15:21:19.058380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length16
Median length15
Mean length5.232125367
Min length2

Characters and Unicode

Total characters5342
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)2.2%

Sample

1st rowDF
2nd rowDF
3rd rowTlaxcala
4th rowHidalgo
5th rowGuanajuato
ValueCountFrequency (%)
df 421
37.1%
yucatán 54
 
4.8%
edo 52
 
4.6%
puebla 50
 
4.4%
hidalgo 47
 
4.1%
de 47
 
4.1%
mex 46
 
4.0%
oaxaca 44
 
3.9%
edomex 43
 
3.8%
veracruz 40
 
3.5%
Other values (48) 292
25.7%
2024-05-04T15:21:19.503806image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 601
 
11.3%
D 438
 
8.2%
F 431
 
8.1%
o 362
 
6.8%
e 352
 
6.6%
c 291
 
5.4%
u 246
 
4.6%
d 220
 
4.1%
r 204
 
3.8%
M 179
 
3.4%
Other values (44) 2018
37.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5342
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 601
 
11.3%
D 438
 
8.2%
F 431
 
8.1%
o 362
 
6.8%
e 352
 
6.6%
c 291
 
5.4%
u 246
 
4.6%
d 220
 
4.1%
r 204
 
3.8%
M 179
 
3.4%
Other values (44) 2018
37.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5342
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 601
 
11.3%
D 438
 
8.2%
F 431
 
8.1%
o 362
 
6.8%
e 352
 
6.6%
c 291
 
5.4%
u 246
 
4.6%
d 220
 
4.1%
r 204
 
3.8%
M 179
 
3.4%
Other values (44) 2018
37.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5342
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 601
 
11.3%
D 438
 
8.2%
F 431
 
8.1%
o 362
 
6.8%
e 352
 
6.6%
c 291
 
5.4%
u 246
 
4.6%
d 220
 
4.1%
r 204
 
3.8%
M 179
 
3.4%
Other values (44) 2018
37.8%

origen_abos_pat
Text

MISSING 

Distinct173
Distinct (%)17.2%
Missing367
Missing (%)26.8%
Memory size53.7 KiB
2024-05-04T15:21:19.718637image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.086739781
Min length2

Characters and Unicode

Total characters7108
Distinct characters56
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)11.4%

Sample

1st rowDF
2nd rowDF
3rd rowTlaxcala
4th rowMichoacan
5th rowGuanajuato
ValueCountFrequency (%)
df 266
23.0%
desconoce 107
 
9.3%
oaxaca 59
 
5.1%
puebla 55
 
4.8%
yucatán 51
 
4.4%
edo 47
 
4.1%
guerrero 42
 
3.6%
guanajuato 41
 
3.5%
de 39
 
3.4%
michoacan 38
 
3.3%
Other values (115) 411
35.6%
2024-05-04T15:21:20.144194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 771
 
10.8%
o 653
 
9.2%
e 613
 
8.6%
c 568
 
8.0%
D 444
 
6.2%
u 327
 
4.6%
F 306
 
4.3%
n 299
 
4.2%
r 267
 
3.8%
d 206
 
2.9%
Other values (46) 2654
37.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7108
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 771
 
10.8%
o 653
 
9.2%
e 613
 
8.6%
c 568
 
8.0%
D 444
 
6.2%
u 327
 
4.6%
F 306
 
4.3%
n 299
 
4.2%
r 267
 
3.8%
d 206
 
2.9%
Other values (46) 2654
37.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7108
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 771
 
10.8%
o 653
 
9.2%
e 613
 
8.6%
c 568
 
8.0%
D 444
 
6.2%
u 327
 
4.6%
F 306
 
4.3%
n 299
 
4.2%
r 267
 
3.8%
d 206
 
2.9%
Other values (46) 2654
37.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7108
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 771
 
10.8%
o 653
 
9.2%
e 613
 
8.6%
c 568
 
8.0%
D 444
 
6.2%
u 327
 
4.6%
F 306
 
4.3%
n 299
 
4.2%
r 267
 
3.8%
d 206
 
2.9%
Other values (46) 2654
37.3%

origen_abos_mat
Text

MISSING 

Distinct186
Distinct (%)18.3%
Missing354
Missing (%)25.8%
Memory size53.7 KiB
2024-05-04T15:21:20.390954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length26
Median length23
Mean length7.262795276
Min length2

Characters and Unicode

Total characters7379
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)12.4%

Sample

1st rowDF
2nd rowDF
3rd rowTlaxcala
4th rowHidalgo
5th rowGuanajuato
ValueCountFrequency (%)
df 262
21.9%
desconoce 108
 
9.0%
puebla 59
 
4.9%
hidalgo 58
 
4.9%
yucatán 54
 
4.5%
guanajuato 52
 
4.4%
edo 48
 
4.0%
oaxaca 44
 
3.7%
de 44
 
3.7%
edomex 41
 
3.4%
Other values (117) 425
35.6%
2024-05-04T15:21:20.816668image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 805
 
10.9%
o 663
 
9.0%
e 592
 
8.0%
c 559
 
7.6%
D 419
 
5.7%
u 338
 
4.6%
n 297
 
4.0%
F 295
 
4.0%
r 242
 
3.3%
d 230
 
3.1%
Other values (47) 2939
39.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7379
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 805
 
10.9%
o 663
 
9.0%
e 592
 
8.0%
c 559
 
7.6%
D 419
 
5.7%
u 338
 
4.6%
n 297
 
4.0%
F 295
 
4.0%
r 242
 
3.3%
d 230
 
3.1%
Other values (47) 2939
39.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7379
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 805
 
10.9%
o 663
 
9.0%
e 592
 
8.0%
c 559
 
7.6%
D 419
 
5.7%
u 338
 
4.6%
n 297
 
4.0%
F 295
 
4.0%
r 242
 
3.3%
d 230
 
3.1%
Other values (47) 2939
39.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7379
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 805
 
10.9%
o 663
 
9.0%
e 592
 
8.0%
c 559
 
7.6%
D 419
 
5.7%
u 338
 
4.6%
n 297
 
4.0%
F 295
 
4.0%
r 242
 
3.3%
d 230
 
3.1%
Other values (47) 2939
39.8%

tiene_pareja
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing653
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean0.9191073919
Minimum0
Maximum1
Zeros58
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:20.993214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2728604651
Coefficient of variation (CV)0.2968754985
Kurtosis7.510711436
Mean0.9191073919
Median Absolute Deviation (MAD)0
Skewness-3.080546829
Sum659
Variance0.07445283342
MonotonicityNot monotonic
2024-05-04T15:21:21.216740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 659
48.1%
0 58
 
4.2%
(Missing) 653
47.7%
ValueCountFrequency (%)
0 58
 
4.2%
1 659
48.1%
ValueCountFrequency (%)
1 659
48.1%
0 58
 
4.2%

paciente_trabaja
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing710
Missing (%)51.8%
Infinite0
Infinite (%)0.0%
Mean0.5272727273
Minimum0
Maximum1
Zeros312
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:21.408073image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4996342986
Coefficient of variation (CV)0.9475822904
Kurtosis-1.994061018
Mean0.5272727273
Median Absolute Deviation (MAD)0
Skewness-0.1095025829
Sum348
Variance0.2496344323
MonotonicityNot monotonic
2024-05-04T15:21:21.639630image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 348
25.4%
0 312
22.8%
(Missing) 710
51.8%
ValueCountFrequency (%)
0 312
22.8%
1 348
25.4%
ValueCountFrequency (%)
1 348
25.4%
0 312
22.8%

escolaridad
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.0%
Missing674
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.264367816
Minimum0
Maximum6
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:21.809081image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.259985338
Coefficient of variation (CV)0.3859814241
Kurtosis-0.5839981195
Mean3.264367816
Median Absolute Deviation (MAD)1
Skewness0.04621529731
Sum2272
Variance1.587563053
MonotonicityNot monotonic
2024-05-04T15:21:21.959826image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 210
 
15.3%
3 164
 
12.0%
2 162
 
11.8%
5 82
 
6.0%
1 50
 
3.6%
6 26
 
1.9%
0 2
 
0.1%
(Missing) 674
49.2%
ValueCountFrequency (%)
0 2
 
0.1%
1 50
 
3.6%
2 162
11.8%
3 164
12.0%
4 210
15.3%
ValueCountFrequency (%)
6 26
 
1.9%
5 82
 
6.0%
4 210
15.3%
3 164
12.0%
2 162
11.8%

no_cuartos
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)1.1%
Missing900
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean4.753191489
Minimum0
Maximum14
Zeros252
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:22.093382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.502348832
Coefficient of variation (CV)1.157611437
Kurtosis-1.257326176
Mean4.753191489
Median Absolute Deviation (MAD)0
Skewness0.5509776808
Sum2234
Variance30.27584267
MonotonicityNot monotonic
2024-05-04T15:21:22.226077image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 252
 
18.4%
8 134
 
9.8%
14 82
 
6.0%
1 1
 
0.1%
13 1
 
0.1%
(Missing) 900
65.7%
ValueCountFrequency (%)
0 252
18.4%
1 1
 
0.1%
8 134
9.8%
13 1
 
0.1%
14 82
 
6.0%
ValueCountFrequency (%)
14 82
 
6.0%
13 1
 
0.1%
8 134
9.8%
1 1
 
0.1%
0 252
18.4%

no_banos
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)1.9%
Missing901
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean12.3347548
Minimum0
Maximum48
Zeros37
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:22.378277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median13
Q313
95-th percentile13
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.093661953
Coefficient of variation (CV)0.4129520235
Kurtosis17.82142067
Mean12.3347548
Median Absolute Deviation (MAD)0
Skewness1.650076189
Sum5785
Variance25.94539209
MonotonicityNot monotonic
2024-05-04T15:21:22.517069image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 417
30.4%
0 37
 
2.7%
31 6
 
0.4%
48 3
 
0.2%
3 2
 
0.1%
1 1
 
0.1%
2 1
 
0.1%
15 1
 
0.1%
10 1
 
0.1%
(Missing) 901
65.8%
ValueCountFrequency (%)
0 37
2.7%
1 1
 
0.1%
2 1
 
0.1%
3 2
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
48 3
 
0.2%
31 6
 
0.4%
15 1
 
0.1%
13 417
30.4%
10 1
 
0.1%

regadera
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.3%
Missing901
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean8.206823028
Minimum0
Maximum110
Zeros96
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:22.657000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10
Q310
95-th percentile10
Maximum110
Range110
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.235913727
Coefficient of variation (CV)0.7598450346
Kurtosis151.2996994
Mean8.206823028
Median Absolute Deviation (MAD)0
Skewness8.896192855
Sum3849
Variance38.88662001
MonotonicityNot monotonic
2024-05-04T15:21:22.787328image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
10 368
26.9%
0 96
 
7.0%
13 2
 
0.1%
15 1
 
0.1%
110 1
 
0.1%
18 1
 
0.1%
(Missing) 901
65.8%
ValueCountFrequency (%)
0 96
 
7.0%
10 368
26.9%
13 2
 
0.1%
15 1
 
0.1%
18 1
 
0.1%
ValueCountFrequency (%)
110 1
 
0.1%
18 1
 
0.1%
15 1
 
0.1%
13 2
 
0.1%
10 368
26.9%

no_focos
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)1.9%
Missing901
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean12.06609808
Minimum0
Maximum56
Zeros168
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:22.906429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q315
95-th percentile32
Maximum56
Range56
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.98454148
Coefficient of variation (CV)0.9103640142
Kurtosis0.7623364007
Mean12.06609808
Median Absolute Deviation (MAD)12
Skewness0.7560020387
Sum5659
Variance120.6601516
MonotonicityNot monotonic
2024-05-04T15:21:23.032712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
15 225
 
16.4%
0 168
 
12.3%
27 44
 
3.2%
32 17
 
1.2%
46 10
 
0.7%
10 2
 
0.1%
56 1
 
0.1%
11 1
 
0.1%
5 1
 
0.1%
(Missing) 901
65.8%
ValueCountFrequency (%)
0 168
12.3%
5 1
 
0.1%
10 2
 
0.1%
11 1
 
0.1%
15 225
16.4%
ValueCountFrequency (%)
56 1
 
0.1%
46 10
 
0.7%
32 17
 
1.2%
27 44
 
3.2%
15 225
16.4%

piso_hogar
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.6%
Missing901
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean5.507462687
Minimum0
Maximum15
Zeros236
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:23.152116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile11
Maximum15
Range15
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.563776288
Coefficient of variation (CV)1.010224963
Kurtosis-1.968546644
Mean5.507462687
Median Absolute Deviation (MAD)0
Skewness0.03278763654
Sum2583
Variance30.95560658
MonotonicityNot monotonic
2024-05-04T15:21:23.281003image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 236
 
17.2%
11 228
 
16.6%
15 5
 
0.4%
(Missing) 901
65.8%
ValueCountFrequency (%)
0 236
17.2%
11 228
16.6%
15 5
 
0.4%
ValueCountFrequency (%)
15 5
 
0.4%
11 228
16.6%
0 236
17.2%

no_autos
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.3%
Missing902
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean8.111111111
Minimum0
Maximum58
Zeros318
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:23.416579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q322
95-th percentile41
Maximum58
Range58
Interquartile range (IQR)22

Descriptive statistics

Standard deviation12.96166496
Coefficient of variation (CV)1.598013488
Kurtosis1.611195551
Mean8.111111111
Median Absolute Deviation (MAD)0
Skewness1.467665261
Sum3796
Variance168.0047585
MonotonicityNot monotonic
2024-05-04T15:21:23.546610image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 318
 
23.2%
22 121
 
8.8%
41 20
 
1.5%
58 5
 
0.4%
1 2
 
0.1%
11 2
 
0.1%
(Missing) 902
65.8%
ValueCountFrequency (%)
0 318
23.2%
1 2
 
0.1%
11 2
 
0.1%
22 121
 
8.8%
41 20
 
1.5%
ValueCountFrequency (%)
58 5
 
0.4%
41 20
 
1.5%
22 121
8.8%
11 2
 
0.1%
1 2
 
0.1%

no_tv
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.7%
Missing902
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean36.19230769
Minimum0
Maximum266
Zeros25
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:23.686249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126
median26
Q344
95-th percentile58
Maximum266
Range266
Interquartile range (IQR)18

Descriptive statistics

Standard deviation21.2094022
Coefficient of variation (CV)0.5860196144
Kurtosis57.4917854
Mean36.19230769
Median Absolute Deviation (MAD)18
Skewness5.319853282
Sum16938
Variance449.8387416
MonotonicityNot monotonic
2024-05-04T15:21:23.830442image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
26 218
 
15.9%
44 142
 
10.4%
58 77
 
5.6%
0 25
 
1.8%
2 2
 
0.1%
266 2
 
0.1%
16 1
 
0.1%
4 1
 
0.1%
(Missing) 902
65.8%
ValueCountFrequency (%)
0 25
 
1.8%
2 2
 
0.1%
4 1
 
0.1%
16 1
 
0.1%
26 218
15.9%
ValueCountFrequency (%)
266 2
 
0.1%
58 77
 
5.6%
44 142
10.4%
26 218
15.9%
16 1
 
0.1%

no_computador
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.7%
Missing902
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean11.45940171
Minimum0
Maximum117
Zeros225
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:23.958789image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q317
95-th percentile29
Maximum117
Range117
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.58266219
Coefficient of variation (CV)1.185285457
Kurtosis14.23834901
Mean11.45940171
Median Absolute Deviation (MAD)12
Skewness2.326634875
Sum5363
Variance184.4887123
MonotonicityNot monotonic
2024-05-04T15:21:24.098325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 225
 
16.4%
17 161
 
11.8%
29 73
 
5.3%
26 2
 
0.1%
117 2
 
0.1%
58 2
 
0.1%
44 2
 
0.1%
19 1
 
0.1%
(Missing) 902
65.8%
ValueCountFrequency (%)
0 225
16.4%
17 161
11.8%
19 1
 
0.1%
26 2
 
0.1%
29 73
 
5.3%
ValueCountFrequency (%)
117 2
 
0.1%
58 2
 
0.1%
44 2
 
0.1%
29 73
5.3%
26 2
 
0.1%

estufa
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.6%
Missing902
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean18.49786325
Minimum0
Maximum117
Zeros40
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:24.224899image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median20
Q320
95-th percentile20
Maximum117
Range117
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.221339698
Coefficient of variation (CV)0.3903877762
Kurtosis75.80645061
Mean18.49786325
Median Absolute Deviation (MAD)0
Skewness4.020358399
Sum8657
Variance52.14774703
MonotonicityNot monotonic
2024-05-04T15:21:24.352087image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
20 427
31.2%
0 40
 
2.9%
117 1
 
0.1%
(Missing) 902
65.8%
ValueCountFrequency (%)
0 40
 
2.9%
20 427
31.2%
117 1
 
0.1%
ValueCountFrequency (%)
117 1
 
0.1%
20 427
31.2%
0 40
 
2.9%

estudio_max
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.3%
Missing903
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean35.07066381
Minimum0
Maximum72
Zeros34
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:24.477202image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median38
Q352
95-th percentile52
Maximum72
Range72
Interquartile range (IQR)30

Descriptive statistics

Standard deviation16.81409766
Coefficient of variation (CV)0.4794348276
Kurtosis-0.1707593652
Mean35.07066381
Median Absolute Deviation (MAD)14
Skewness-0.0808058431
Sum16378
Variance282.71388
MonotonicityNot monotonic
2024-05-04T15:21:24.609580image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
22 147
 
10.7%
38 142
 
10.4%
52 118
 
8.6%
0 34
 
2.5%
72 21
 
1.5%
20 5
 
0.4%
(Missing) 903
65.9%
ValueCountFrequency (%)
0 34
 
2.5%
20 5
 
0.4%
22 147
10.7%
38 142
10.4%
52 118
8.6%
ValueCountFrequency (%)
72 21
 
1.5%
52 118
8.6%
38 142
10.4%
22 147
10.7%
20 5
 
0.4%

puntos_ses
Real number (ℝ)

MISSING 

Distinct182
Distinct (%)38.9%
Missing902
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean151.7735043
Minimum11
Maximum412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:24.817535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile64
Q1102
median153
Q3193.25
95-th percentile250.65
Maximum412
Range401
Interquartile range (IQR)91.25

Descriptive statistics

Standard deviation63.9605739
Coefficient of variation (CV)0.4214212106
Kurtosis0.355760926
Mean151.7735043
Median Absolute Deviation (MAD)47.5
Skewness0.5151097006
Sum71030
Variance4090.955014
MonotonicityNot monotonic
2024-05-04T15:21:25.523531image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107 14
 
1.0%
106 14
 
1.0%
91 11
 
0.8%
84 10
 
0.7%
81 9
 
0.7%
157 8
 
0.6%
68 8
 
0.6%
212 8
 
0.6%
164 7
 
0.5%
86 7
 
0.5%
Other values (172) 372
27.2%
(Missing) 902
65.8%
ValueCountFrequency (%)
11 1
0.1%
20 1
0.1%
23 1
0.1%
26 1
0.1%
35 1
0.1%
ValueCountFrequency (%)
412 1
0.1%
387 1
0.1%
349 1
0.1%
329 1
0.1%
318 1
0.1%

nivel_ses
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.3%
Missing902
Missing (%)65.8%
Infinite0
Infinite (%)0.0%
Mean3.538461538
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:25.772279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.335006911
Coefficient of variation (CV)0.3772845618
Kurtosis-0.7973919194
Mean3.538461538
Median Absolute Deviation (MAD)1
Skewness0.1287413278
Sum1656
Variance1.782243452
MonotonicityNot monotonic
2024-05-04T15:21:25.948031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 130
 
9.5%
4 102
 
7.4%
2 91
 
6.6%
5 84
 
6.1%
6 39
 
2.8%
1 22
 
1.6%
(Missing) 902
65.8%
ValueCountFrequency (%)
1 22
 
1.6%
2 91
6.6%
3 130
9.5%
4 102
7.4%
5 84
6.1%
ValueCountFrequency (%)
6 39
 
2.8%
5 84
6.1%
4 102
7.4%
3 130
9.5%
2 91
6.6%

ins_seg
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing1362
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean18.475
Minimum8.2
Maximum61.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:26.119494image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum8.2
5-th percentile8.445
Q18.975
median11.1
Q317.025
95-th percentile48.02
Maximum61.6
Range53.4
Interquartile range (IQR)8.05

Descriptive statistics

Standard deviation18.09852007
Coefficient of variation (CV)0.9796221957
Kurtosis6.268704179
Mean18.475
Median Absolute Deviation (MAD)2.55
Skewness2.456972381
Sum147.8
Variance327.5564286
MonotonicityNot monotonic
2024-05-04T15:21:26.296524image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
61.6 1
 
0.1%
13 1
 
0.1%
8.2 1
 
0.1%
9 1
 
0.1%
22.8 1
 
0.1%
15.1 1
 
0.1%
8.9 1
 
0.1%
9.2 1
 
0.1%
(Missing) 1362
99.4%
ValueCountFrequency (%)
8.2 1
0.1%
8.9 1
0.1%
9 1
0.1%
9.2 1
0.1%
13 1
0.1%
ValueCountFrequency (%)
61.6 1
0.1%
22.8 1
0.1%
15.1 1
0.1%
13 1
0.1%
9.2 1
0.1%

glu_seg
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing1361
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean101.8888889
Minimum75
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:26.447937image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum75
5-th percentile81
Q191
median96
Q3116
95-th percentile127.4
Maximum131
Range56
Interquartile range (IQR)25

Descriptive statistics

Standard deviation17.70200867
Coefficient of variation (CV)0.1737383621
Kurtosis-0.5325878957
Mean101.8888889
Median Absolute Deviation (MAD)6
Skewness0.370461721
Sum917
Variance313.3611111
MonotonicityNot monotonic
2024-05-04T15:21:26.609933image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
96 2
 
0.1%
131 1
 
0.1%
75 1
 
0.1%
100 1
 
0.1%
116 1
 
0.1%
90 1
 
0.1%
91 1
 
0.1%
122 1
 
0.1%
(Missing) 1361
99.3%
ValueCountFrequency (%)
75 1
0.1%
90 1
0.1%
91 1
0.1%
96 2
0.1%
100 1
0.1%
ValueCountFrequency (%)
131 1
0.1%
122 1
0.1%
116 1
0.1%
100 1
0.1%
96 2
0.1%

tg_seg
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing1361
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean173.6666667
Minimum85
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:26.772201image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile95.4
Q1157
median181
Q3198
95-th percentile246.4
Maximum258
Range173
Interquartile range (IQR)41

Descriptive statistics

Standard deviation53.82843115
Coefficient of variation (CV)0.3099525786
Kurtosis-0.1793054894
Mean173.6666667
Median Absolute Deviation (MAD)24
Skewness-0.1702754447
Sum1563
Variance2897.5
MonotonicityNot monotonic
2024-05-04T15:21:26.948497image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
85 1
 
0.1%
160 1
 
0.1%
111 1
 
0.1%
157 1
 
0.1%
181 1
 
0.1%
198 1
 
0.1%
258 1
 
0.1%
184 1
 
0.1%
229 1
 
0.1%
(Missing) 1361
99.3%
ValueCountFrequency (%)
85 1
0.1%
111 1
0.1%
157 1
0.1%
160 1
0.1%
181 1
0.1%
ValueCountFrequency (%)
258 1
0.1%
229 1
0.1%
198 1
0.1%
184 1
0.1%
181 1
0.1%

ct_seg
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing1361
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean185.2222222
Minimum140
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:27.122118image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile141.2
Q1155
median203
Q3205
95-th percentile210.8
Maximum212
Range72
Interquartile range (IQR)50

Descriptive statistics

Standard deviation29.99907406
Coefficient of variation (CV)0.1619626074
Kurtosis-1.456260213
Mean185.2222222
Median Absolute Deviation (MAD)7
Skewness-0.8422434752
Sum1667
Variance899.9444444
MonotonicityNot monotonic
2024-05-04T15:21:27.302259image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
140 1
 
0.1%
143 1
 
0.1%
155 1
 
0.1%
204 1
 
0.1%
205 1
 
0.1%
196 1
 
0.1%
212 1
 
0.1%
209 1
 
0.1%
203 1
 
0.1%
(Missing) 1361
99.3%
ValueCountFrequency (%)
140 1
0.1%
143 1
0.1%
155 1
0.1%
196 1
0.1%
203 1
0.1%
ValueCountFrequency (%)
212 1
0.1%
209 1
0.1%
205 1
0.1%
204 1
0.1%
203 1
0.1%

hdl_seg
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing1361
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean47.88888889
Minimum35
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:27.465917image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile35.4
Q142
median48
Q350
95-th percentile63.2
Maximum64
Range29
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.05540209
Coefficient of variation (CV)0.2099735934
Kurtosis-0.4884736143
Mean47.88888889
Median Absolute Deviation (MAD)6
Skewness0.4692604816
Sum431
Variance101.1111111
MonotonicityNot monotonic
2024-05-04T15:21:27.631713image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
48 2
 
0.1%
36 1
 
0.1%
50 1
 
0.1%
46 1
 
0.1%
42 1
 
0.1%
64 1
 
0.1%
62 1
 
0.1%
35 1
 
0.1%
(Missing) 1361
99.3%
ValueCountFrequency (%)
35 1
0.1%
36 1
0.1%
42 1
0.1%
46 1
0.1%
48 2
0.1%
ValueCountFrequency (%)
64 1
0.1%
62 1
0.1%
50 1
0.1%
48 2
0.1%
46 1
0.1%

ldl_seg
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing1362
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean104.525
Minimum61
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:27.793587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile69.4
Q190.25
median110.1
Q3124.75
95-th percentile127
Maximum127
Range66
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation24.42783833
Coefficient of variation (CV)0.2337033086
Kurtosis-0.5551346085
Mean104.525
Median Absolute Deviation (MAD)16.9
Skewness-0.7386602816
Sum836.2
Variance596.7192857
MonotonicityNot monotonic
2024-05-04T15:21:27.934770image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
127 2
 
0.1%
61 1
 
0.1%
85 1
 
0.1%
92 1
 
0.1%
98 1
 
0.1%
124 1
 
0.1%
122.2 1
 
0.1%
(Missing) 1362
99.4%
ValueCountFrequency (%)
61 1
0.1%
85 1
0.1%
92 1
0.1%
98 1
0.1%
122.2 1
0.1%
ValueCountFrequency (%)
127 2
0.1%
124 1
0.1%
122.2 1
0.1%
98 1
0.1%
92 1
0.1%

Fecha_ev1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1124
Missing (%)82.0%
Memory size53.7 KiB

SDG_ev1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1125
Missing (%)82.1%
Memory size53.7 KiB

trimestre_ev1
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)1.2%
Missing1124
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean1.516260163
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:28.073793image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6864132133
Coefficient of variation (CV)0.4527014758
Kurtosis-0.30075909
Mean1.516260163
Median Absolute Deviation (MAD)0
Skewness0.971702972
Sum373
Variance0.4711630994
MonotonicityNot monotonic
2024-05-04T15:21:28.223838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 146
 
10.7%
2 73
 
5.3%
3 27
 
2.0%
(Missing) 1124
82.0%
ValueCountFrequency (%)
1 146
10.7%
2 73
5.3%
3 27
 
2.0%
ValueCountFrequency (%)
3 27
 
2.0%
2 73
5.3%
1 146
10.7%

Edad_ev1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)11.4%
Missing1124
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean27.58536585
Minimum15
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:28.384560image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile18
Q122
median27
Q332
95-th percentile38
Maximum42
Range27
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.591183758
Coefficient of variation (CV)0.2389376959
Kurtosis-0.9049825079
Mean27.58536585
Median Absolute Deviation (MAD)5
Skewness0.2058693711
Sum6786
Variance43.44370333
MonotonicityNot monotonic
2024-05-04T15:21:28.557757image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
25 19
 
1.4%
21 17
 
1.2%
36 17
 
1.2%
18 14
 
1.0%
32 14
 
1.0%
29 13
 
0.9%
24 13
 
0.9%
27 12
 
0.9%
30 12
 
0.9%
28 11
 
0.8%
Other values (18) 104
 
7.6%
(Missing) 1124
82.0%
ValueCountFrequency (%)
15 2
 
0.1%
16 1
 
0.1%
17 5
 
0.4%
18 14
1.0%
19 8
0.6%
ValueCountFrequency (%)
42 3
 
0.2%
41 3
 
0.2%
40 2
 
0.1%
39 2
 
0.1%
38 10
0.7%

Peso_pg
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)30.1%
Missing1124
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean63.40650407
Minimum36
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:28.747062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile46
Q154
median62
Q370
95-th percentile87
Maximum117
Range81
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.88102379
Coefficient of variation (CV)0.2031498815
Kurtosis1.372233805
Mean63.40650407
Median Absolute Deviation (MAD)8
Skewness0.9690917605
Sum15598
Variance165.9207739
MonotonicityNot monotonic
2024-05-04T15:21:29.061448image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 12
 
0.9%
64 10
 
0.7%
62 10
 
0.7%
50 10
 
0.7%
66 9
 
0.7%
61 8
 
0.6%
56 8
 
0.6%
63 8
 
0.6%
54 8
 
0.6%
57 8
 
0.6%
Other values (64) 155
 
11.3%
(Missing) 1124
82.0%
ValueCountFrequency (%)
36 1
 
0.1%
42 1
 
0.1%
43 2
 
0.1%
44.5 2
 
0.1%
45 6
0.4%
ValueCountFrequency (%)
117 1
0.1%
109 1
0.1%
99 1
0.1%
98.5 1
0.1%
98 1
0.1%

Talla_ev1
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)18.4%
Missing1125
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean1.58615102
Minimum1.43
Maximum1.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:29.336794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.43
5-th percentile1.49
Q11.55
median1.59
Q31.62
95-th percentile1.68
Maximum1.73
Range0.3
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.05747691669
Coefficient of variation (CV)0.03623672396
Kurtosis-0.03949533947
Mean1.58615102
Median Absolute Deviation (MAD)0.04
Skewness-0.04187225248
Sum388.607
Variance0.003303595952
MonotonicityNot monotonic
2024-05-04T15:21:29.592569image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1.6 22
 
1.6%
1.62 19
 
1.4%
1.59 17
 
1.2%
1.56 17
 
1.2%
1.55 17
 
1.2%
1.58 14
 
1.0%
1.65 13
 
0.9%
1.68 11
 
0.8%
1.54 11
 
0.8%
1.57 10
 
0.7%
Other values (35) 94
 
6.9%
(Missing) 1125
82.1%
ValueCountFrequency (%)
1.43 1
0.1%
1.44 2
0.1%
1.45 1
0.1%
1.46 2
0.1%
1.47 1
0.1%
ValueCountFrequency (%)
1.73 2
 
0.1%
1.72 2
 
0.1%
1.71 2
 
0.1%
1.7 1
 
0.1%
1.68 11
0.8%

IMC_pg
Real number (ℝ)

MISSING 

Distinct220
Distinct (%)89.8%
Missing1125
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean25.20015294
Minimum16.88872209
Maximum41.45408163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:29.891590image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum16.88872209
5-th percentile18.45851116
Q122.06919967
median24.54796673
Q327.73229978
95-th percentile35.10788735
Maximum41.45408163
Range24.56535955
Interquartile range (IQR)5.663100103

Descriptive statistics

Standard deviation4.723007253
Coefficient of variation (CV)0.1874197853
Kurtosis0.8439312771
Mean25.20015294
Median Absolute Deviation (MAD)2.661641079
Skewness0.8969962431
Sum6174.03747
Variance22.30679751
MonotonicityNot monotonic
2024-05-04T15:21:30.200584image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.47666009 5
 
0.4%
24.38652644 3
 
0.2%
25.390625 3
 
0.2%
24.97398543 3
 
0.2%
22.86236854 3
 
0.2%
22.60026298 2
 
0.1%
25.86451247 2
 
0.1%
22.93975069 2
 
0.1%
26.21882086 2
 
0.1%
22.52150804 2
 
0.1%
Other values (210) 218
 
15.9%
(Missing) 1125
82.1%
ValueCountFrequency (%)
16.88872209 1
0.1%
17.05617651 1
0.1%
17.10291493 1
0.1%
17.36044134 1
0.1%
17.578125 1
0.1%
ValueCountFrequency (%)
41.45408163 1
0.1%
40.05734525 1
0.1%
38.66666667 1
0.1%
37.71626298 1
0.1%
37.58347222 1
0.1%

Clasif_imc
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)1.6%
Missing1125
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean1.563265306
Minimum0
Maximum3
Zeros11
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:30.341958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7795264109
Coefficient of variation (CV)0.4986526649
Kurtosis-0.5209780041
Mean1.563265306
Median Absolute Deviation (MAD)1
Skewness0.3635148935
Sum383
Variance0.6076614252
MonotonicityNot monotonic
2024-05-04T15:21:30.487904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 118
 
8.6%
2 83
 
6.1%
3 33
 
2.4%
0 11
 
0.8%
(Missing) 1125
82.1%
ValueCountFrequency (%)
0 11
 
0.8%
1 118
8.6%
2 83
6.1%
3 33
 
2.4%
ValueCountFrequency (%)
3 33
 
2.4%
2 83
6.1%
1 118
8.6%
0 11
 
0.8%

peso_1ertrim
Real number (ℝ)

MISSING 

Distinct171
Distinct (%)72.5%
Missing1134
Missing (%)82.8%
Infinite0
Infinite (%)0.0%
Mean64.23889831
Minimum37.5
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:30.672825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum37.5
5-th percentile45.7
Q154.975
median63
Q371.35
95-th percentile87.125
Maximum119
Range81.5
Interquartile range (IQR)16.375

Descriptive statistics

Standard deviation12.67208279
Coefficient of variation (CV)0.1972649457
Kurtosis1.322021415
Mean64.23889831
Median Absolute Deviation (MAD)8.3
Skewness0.8334805948
Sum15160.38
Variance160.5816822
MonotonicityNot monotonic
2024-05-04T15:21:30.892659image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 5
 
0.4%
67 4
 
0.3%
56 4
 
0.3%
63 4
 
0.3%
52.5 4
 
0.3%
72.4 3
 
0.2%
61.8 3
 
0.2%
62.1 3
 
0.2%
54.7 3
 
0.2%
60.3 3
 
0.2%
Other values (161) 200
 
14.6%
(Missing) 1134
82.8%
ValueCountFrequency (%)
37.5 1
0.1%
42.3 1
0.1%
42.8 1
0.1%
43 1
0.1%
43.2 1
0.1%
ValueCountFrequency (%)
119 1
0.1%
106 1
0.1%
100.2 1
0.1%
99.5 1
0.1%
92.8 1
0.1%

Ganancia_1ertrim
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)44.5%
Missing1134
Missing (%)82.8%
Infinite0
Infinite (%)0.0%
Mean1.125338983
Minimum-17
Maximum75.3
Zeros12
Zeros (%)0.9%
Negative81
Negative (%)5.9%
Memory size53.7 KiB
2024-05-04T15:21:31.147408image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-17
5-th percentile-6.075
Q1-0.75
median1
Q32.625
95-th percentile6.2
Maximum75.3
Range92.3
Interquartile range (IQR)3.375

Descriptive statistics

Standard deviation7.080863294
Coefficient of variation (CV)6.29220475
Kurtosis65.99432187
Mean1.125338983
Median Absolute Deviation (MAD)1.7
Skewness6.767550539
Sum265.58
Variance50.13862499
MonotonicityNot monotonic
2024-05-04T15:21:31.350994image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 14
 
1.0%
0 12
 
0.9%
1 8
 
0.6%
0.5 8
 
0.6%
2.5 7
 
0.5%
1.5 6
 
0.4%
-1 6
 
0.4%
-0.5 5
 
0.4%
3 5
 
0.4%
-2 5
 
0.4%
Other values (95) 160
 
11.7%
(Missing) 1134
82.8%
ValueCountFrequency (%)
-17 1
0.1%
-11.7 1
0.1%
-10.8 1
0.1%
-10 1
0.1%
-8.8 1
0.1%
ValueCountFrequency (%)
75.3 1
0.1%
56.2 1
0.1%
11.3 1
0.1%
10 2
0.1%
8.9 1
0.1%

Peso_2otrim
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)76.0%
Missing1199
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean67.05555556
Minimum0
Maximum104.2
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:31.558423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50.3
Q158.85
median66.1
Q374.05
95-th percentile88.25
Maximum104.2
Range104.2
Interquartile range (IQR)15.2

Descriptive statistics

Standard deviation12.43215996
Coefficient of variation (CV)0.1854008942
Kurtosis4.457937641
Mean67.05555556
Median Absolute Deviation (MAD)7.5
Skewness-0.4855621485
Sum11466.5
Variance154.5586013
MonotonicityNot monotonic
2024-05-04T15:21:31.753057image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.1 4
 
0.3%
72 4
 
0.3%
66 3
 
0.2%
73 3
 
0.2%
76 3
 
0.2%
70 3
 
0.2%
75 3
 
0.2%
70.9 3
 
0.2%
64.1 2
 
0.1%
58.7 2
 
0.1%
Other values (120) 141
 
10.3%
(Missing) 1199
87.5%
ValueCountFrequency (%)
0 1
0.1%
42 1
0.1%
43.8 1
0.1%
45 1
0.1%
47.6 1
0.1%
ValueCountFrequency (%)
104.2 1
0.1%
97.7 1
0.1%
95.5 1
0.1%
95.2 1
0.1%
91.5 1
0.1%

Ganancia_2otrim
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)61.5%
Missing1201
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean4.782840237
Minimum-54
Maximum18.5
Zeros6
Zeros (%)0.4%
Negative19
Negative (%)1.4%
Memory size53.7 KiB
2024-05-04T15:21:31.965493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-54
5-th percentile-4.72
Q12.2
median5.5
Q38
95-th percentile12
Maximum18.5
Range72.5
Interquartile range (IQR)5.8

Descriptive statistics

Standard deviation6.49399917
Coefficient of variation (CV)1.357770456
Kurtosis39.28557482
Mean4.782840237
Median Absolute Deviation (MAD)2.7
Skewness-4.560923568
Sum808.3
Variance42.17202522
MonotonicityNot monotonic
2024-05-04T15:21:32.160260image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7
 
0.5%
0 6
 
0.4%
6.5 5
 
0.4%
7 5
 
0.4%
4.5 4
 
0.3%
8.5 4
 
0.3%
5 4
 
0.3%
6 4
 
0.3%
4 3
 
0.2%
4.7 3
 
0.2%
Other values (94) 124
 
9.1%
(Missing) 1201
87.7%
ValueCountFrequency (%)
-54 1
0.1%
-9.9 1
0.1%
-7 1
0.1%
-6.5 1
0.1%
-5.9 1
0.1%
ValueCountFrequency (%)
18.5 1
0.1%
13.6 1
0.1%
13.5 1
0.1%
13.3 1
0.1%
12.9 2
0.1%

Peso_3ertrim
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)79.1%
Missing1327
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean68.23255814
Minimum0
Maximum100
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:32.369502image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52.2
Q161
median67
Q376.25
95-th percentile93.95
Maximum100
Range100
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation16.27256998
Coefficient of variation (CV)0.2384868811
Kurtosis6.4443475
Mean68.23255814
Median Absolute Deviation (MAD)9
Skewness-1.370762899
Sum2934
Variance264.7965338
MonotonicityNot monotonic
2024-05-04T15:21:32.545388image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
84 3
 
0.2%
76 2
 
0.1%
63 2
 
0.1%
94 2
 
0.1%
68 2
 
0.1%
57 2
 
0.1%
55 2
 
0.1%
70 2
 
0.1%
82 1
 
0.1%
54 1
 
0.1%
Other values (24) 24
 
1.8%
(Missing) 1327
96.9%
ValueCountFrequency (%)
0 1
0.1%
50 1
0.1%
52 1
0.1%
54 1
0.1%
55 2
0.1%
ValueCountFrequency (%)
100 1
 
0.1%
94 2
0.1%
93.5 1
 
0.1%
86 1
 
0.1%
84 3
0.2%

Ganancia_3ertrim
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)65.8%
Missing1332
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean7.376315789
Minimum-54
Maximum63
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)0.2%
Memory size53.7 KiB
2024-05-04T15:21:32.723714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-54
5-th percentile-5.3
Q13.25
median8
Q311.875
95-th percentile16.9
Maximum63
Range117
Interquartile range (IQR)8.625

Descriptive statistics

Standard deviation14.75069278
Coefficient of variation (CV)1.999737159
Kurtosis12.78735521
Mean7.376315789
Median Absolute Deviation (MAD)4
Skewness-0.5310646326
Sum280.3
Variance217.5829374
MonotonicityNot monotonic
2024-05-04T15:21:32.876965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8 3
 
0.2%
12 3
 
0.2%
1.7 3
 
0.2%
9 2
 
0.1%
4 2
 
0.1%
5 2
 
0.1%
7 2
 
0.1%
10 2
 
0.1%
3 2
 
0.1%
15 2
 
0.1%
Other values (15) 15
 
1.1%
(Missing) 1332
97.2%
ValueCountFrequency (%)
-54 1
 
0.1%
-7 1
 
0.1%
-5 1
 
0.1%
1 1
 
0.1%
1.7 3
0.2%
ValueCountFrequency (%)
63 1
0.1%
22 1
0.1%
16 1
0.1%
15 2
0.1%
13.3 1
0.1%

Peso_actual
Real number (ℝ)

MISSING 

Distinct167
Distinct (%)68.2%
Missing1125
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean64.72808163
Minimum37.5
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:33.056477image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum37.5
5-th percentile47.26
Q155.2
median63.5
Q372
95-th percentile87
Maximum119
Range81.5
Interquartile range (IQR)16.8

Descriptive statistics

Standard deviation12.5261741
Coefficient of variation (CV)0.1935199343
Kurtosis1.24214315
Mean64.72808163
Median Absolute Deviation (MAD)8.5
Skewness0.7942778392
Sum15858.38
Variance156.9050377
MonotonicityNot monotonic
2024-05-04T15:21:33.303869image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74 4
 
0.3%
52.5 4
 
0.3%
50 4
 
0.3%
61.8 3
 
0.2%
55 3
 
0.2%
51.5 3
 
0.2%
72.4 3
 
0.2%
60.3 3
 
0.2%
67 3
 
0.2%
62.5 3
 
0.2%
Other values (157) 212
 
15.5%
(Missing) 1125
82.1%
ValueCountFrequency (%)
37.5 1
0.1%
42.8 1
0.1%
43 1
0.1%
43.2 1
0.1%
43.6 1
0.1%
ValueCountFrequency (%)
119 1
0.1%
106 1
0.1%
100.2 1
0.1%
99.5 1
0.1%
92.8 1
0.1%

GER
Real number (ℝ)

MISSING 

Distinct244
Distinct (%)100.0%
Missing1126
Missing (%)82.2%
Infinite0
Infinite (%)0.0%
Mean1465.607468
Minimum851.6780364
Maximum2222.731274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:33.516011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum851.6780364
5-th percentile1152.482701
Q11349.052492
median1452.765906
Q31583.757047
95-th percentile1813.876122
Maximum2222.731274
Range1371.053238
Interquartile range (IQR)234.7045557

Descriptive statistics

Standard deviation205.7763594
Coefficient of variation (CV)0.1404034599
Kurtosis1.012655845
Mean1465.607468
Median Absolute Deviation (MAD)111.5477376
Skewness0.1941790389
Sum357608.2222
Variance42343.91008
MonotonicityNot monotonic
2024-05-04T15:21:33.708028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1382.207843 1
 
0.1%
1453.82096 1
 
0.1%
1539.708526 1
 
0.1%
1521.611563 1
 
0.1%
1355.212151 1
 
0.1%
1363.214966 1
 
0.1%
1506.19627 1
 
0.1%
1559.097005 1
 
0.1%
1434.302658 1
 
0.1%
1332.319468 1
 
0.1%
Other values (234) 234
 
17.1%
(Missing) 1126
82.2%
ValueCountFrequency (%)
851.6780364 1
0.1%
886.4621918 1
0.1%
943.2092324 1
0.1%
946.6539447 1
0.1%
999.6349562 1
0.1%
ValueCountFrequency (%)
2222.731274 1
0.1%
2114.882534 1
0.1%
1966.965116 1
0.1%
1931.654695 1
0.1%
1893.468103 1
0.1%

Kcaltotales_cons1
Real number (ℝ)

MISSING 

Distinct234
Distinct (%)100.0%
Missing1136
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean1842.666795
Minimum155.81
Maximum9767.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:33.915428image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum155.81
5-th percentile930.2245
Q11307.3
median1756.725
Q32151.475
95-th percentile3038.6275
Maximum9767.85
Range9612.04
Interquartile range (IQR)844.175

Descriptive statistics

Standard deviation841.0463429
Coefficient of variation (CV)0.4564288808
Kurtosis33.14458295
Mean1842.666795
Median Absolute Deviation (MAD)427.675
Skewness3.895324136
Sum431184.03
Variance707358.9509
MonotonicityNot monotonic
2024-05-04T15:21:34.511322image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1918.7 1
 
0.1%
2130.06 1
 
0.1%
2542.46 1
 
0.1%
2562.3 1
 
0.1%
859.37 1
 
0.1%
1172 1
 
0.1%
1834.03 1
 
0.1%
2001.62 1
 
0.1%
853.31 1
 
0.1%
1364.21 1
 
0.1%
Other values (224) 224
 
16.4%
(Missing) 1136
82.9%
ValueCountFrequency (%)
155.81 1
0.1%
436.01 1
0.1%
553.68 1
0.1%
760.43 1
0.1%
770.19 1
0.1%
ValueCountFrequency (%)
9767.85 1
0.1%
4287.26 1
0.1%
3947.14 1
0.1%
3723.07 1
0.1%
3629.52 1
0.1%

Adecuacion_energia1
Real number (ℝ)

MISSING 

Distinct233
Distinct (%)97.1%
Missing1130
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean123.7812126
Minimum0
Maximum703.2116175
Zeros8
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:34.699390image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47.04447566
Q185.54551788
median115.6848909
Q3151.1497911
95-th percentile232.2514431
Maximum703.2116175
Range703.2116175
Interquartile range (IQR)65.60427325

Descriptive statistics

Standard deviation67.78979189
Coefficient of variation (CV)0.5476581663
Kurtosis22.15007347
Mean123.7812126
Median Absolute Deviation (MAD)33.36071776
Skewness2.983836561
Sum29707.49101
Variance4595.455885
MonotonicityNot monotonic
2024-05-04T15:21:34.907748image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
0.6%
137.1627351 1
 
0.1%
163.0942676 1
 
0.1%
190.3241623 1
 
0.1%
48.40956754 1
 
0.1%
90.46833946 1
 
0.1%
130.2220131 1
 
0.1%
26 1
 
0.1%
68.38970569 1
 
0.1%
93.83617636 1
 
0.1%
Other values (223) 223
 
16.3%
(Missing) 1130
82.5%
ValueCountFrequency (%)
0 8
0.6%
11.02959841 1
 
0.1%
26 1
 
0.1%
28.31769732 1
 
0.1%
38.12031247 1
 
0.1%
ValueCountFrequency (%)
703.2116175 1
0.1%
336.989406 1
0.1%
336.7332323 1
0.1%
306.630401 1
0.1%
286.2870615 1
0.1%

p_proteina1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)12.0%
Missing1136
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean19.31196581
Minimum7
Maximum228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:35.099447image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10.65
Q114
median17
Q320
95-th percentile27.7
Maximum228
Range221
Interquartile range (IQR)6

Descriptive statistics

Standard deviation18.92068678
Coefficient of variation (CV)0.9797390369
Kurtosis98.81583838
Mean19.31196581
Median Absolute Deviation (MAD)3
Skewness9.593603891
Sum4519
Variance357.9923884
MonotonicityNot monotonic
2024-05-04T15:21:35.255906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
16 28
 
2.0%
17 25
 
1.8%
18 22
 
1.6%
15 18
 
1.3%
19 17
 
1.2%
13 16
 
1.2%
14 16
 
1.2%
22 14
 
1.0%
12 10
 
0.7%
20 10
 
0.7%
Other values (18) 58
 
4.2%
(Missing) 1136
82.9%
ValueCountFrequency (%)
7 1
 
0.1%
8 3
0.2%
9 3
0.2%
10 5
0.4%
11 6
0.4%
ValueCountFrequency (%)
228 1
 
0.1%
200 1
 
0.1%
52 1
 
0.1%
32 4
0.3%
31 2
0.1%

p_HC1
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)19.2%
Missing1136
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean57.28205128
Minimum23
Maximum666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:35.424136image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile38
Q149.25
median55
Q360
95-th percentile69.35
Maximum666
Range643
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation41.04542572
Coefficient of variation (CV)0.716549509
Kurtosis209.9981357
Mean57.28205128
Median Absolute Deviation (MAD)5.5
Skewness14.10665644
Sum13404
Variance1684.726973
MonotonicityNot monotonic
2024-05-04T15:21:35.606996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
55 14
 
1.0%
59 12
 
0.9%
56 12
 
0.9%
50 12
 
0.9%
53 11
 
0.8%
51 11
 
0.8%
60 11
 
0.8%
58 10
 
0.7%
52 9
 
0.7%
66 8
 
0.6%
Other values (35) 124
 
9.1%
(Missing) 1136
82.9%
ValueCountFrequency (%)
23 1
 
0.1%
29 1
 
0.1%
33 1
 
0.1%
34 2
0.1%
35 3
0.2%
ValueCountFrequency (%)
666 1
0.1%
79 1
0.1%
75 2
0.1%
74 2
0.1%
73 2
0.1%

p_lipidos1
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)17.1%
Missing1136
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean27.53846154
Minimum6
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:35.780853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile14.65
Q121.25
median27
Q333
95-th percentile42.35
Maximum54
Range48
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation8.439675829
Coefficient of variation (CV)0.3064686753
Kurtosis0.409750214
Mean27.53846154
Median Absolute Deviation (MAD)6
Skewness0.4377527791
Sum6444
Variance71.2281281
MonotonicityNot monotonic
2024-05-04T15:21:35.993795image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
26 15
 
1.1%
28 14
 
1.0%
33 13
 
0.9%
30 13
 
0.9%
19 12
 
0.9%
25 11
 
0.8%
29 11
 
0.8%
21 10
 
0.7%
31 10
 
0.7%
23 10
 
0.7%
Other values (30) 115
 
8.4%
(Missing) 1136
82.9%
ValueCountFrequency (%)
6 1
 
0.1%
10 1
 
0.1%
11 2
0.1%
12 3
0.2%
13 2
0.1%
ValueCountFrequency (%)
54 1
 
0.1%
52 1
 
0.1%
51 1
 
0.1%
50 3
0.2%
45 1
 
0.1%

Folato_R24Hmcg
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1136
Missing (%)82.9%
Memory size53.7 KiB

DFE_R24H
Real number (ℝ)

MISSING 

Distinct233
Distinct (%)99.6%
Missing1136
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean445.9335043
Minimum0
Maximum1327.54
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:36.228062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile128.663
Q1279.28
median434.56
Q3569.265
95-th percentile870.9685
Maximum1327.54
Range1327.54
Interquartile range (IQR)289.985

Descriptive statistics

Standard deviation227.9509001
Coefficient of variation (CV)0.5111768861
Kurtosis0.6971123443
Mean445.9335043
Median Absolute Deviation (MAD)148.665
Skewness0.7020845891
Sum104348.44
Variance51961.61287
MonotonicityNot monotonic
2024-05-04T15:21:36.480075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
563.8 2
 
0.1%
433.41 1
 
0.1%
552.71 1
 
0.1%
627.82 1
 
0.1%
427.92 1
 
0.1%
228.65 1
 
0.1%
326.6 1
 
0.1%
471.55 1
 
0.1%
141.45 1
 
0.1%
245.24 1
 
0.1%
Other values (223) 223
 
16.3%
(Missing) 1136
82.9%
ValueCountFrequency (%)
0 1
0.1%
37.21 1
0.1%
54.03 1
0.1%
55.88 1
0.1%
76.89 1
0.1%
ValueCountFrequency (%)
1327.54 1
0.1%
1144.74 1
0.1%
1087.3 1
0.1%
1062.2 1
0.1%
1010.88 1
0.1%

AcFolR24H_kcal
Real number (ℝ)

MISSING 

Distinct234
Distinct (%)100.0%
Missing1136
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean0.2596770687
Minimum0
Maximum1.088055966
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:36.686432image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07846549528
Q10.1676016315
median0.2446496787
Q30.3293270629
95-th percentile0.4852651799
Maximum1.088055966
Range1.088055966
Interquartile range (IQR)0.1617254315

Descriptive statistics

Standard deviation0.1368864818
Coefficient of variation (CV)0.5271412008
Kurtosis6.066560008
Mean0.2596770687
Median Absolute Deviation (MAD)0.07801976392
Skewness1.571321575
Sum60.76443408
Variance0.01873790891
MonotonicityNot monotonic
2024-05-04T15:21:36.876496image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2880648356 1
 
0.1%
0.1452494296 1
 
0.1%
0.2469340717 1
 
0.1%
0.1670062054 1
 
0.1%
0.2660670026 1
 
0.1%
0.278668942 1
 
0.1%
0.2571113886 1
 
0.1%
0.07066775912 1
 
0.1%
0.2873984836 1
 
0.1%
0.5133887012 1
 
0.1%
Other values (224) 224
 
16.4%
(Missing) 1136
82.9%
ValueCountFrequency (%)
0 1
0.1%
0.02116236614 1
0.1%
0.02658041029 1
0.1%
0.03038607939 1
0.1%
0.03054657861 1
0.1%
ValueCountFrequency (%)
1.088055966 1
0.1%
0.7765485115 1
0.1%
0.7372023616 1
0.1%
0.6265173503 1
0.1%
0.5900177778 1
0.1%

FFQ_plip
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)17.2%
Missing1138
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean38.35344828
Minimum11
Maximum2800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:37.075398image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile16
Q122
median25
Q329
95-th percentile40
Maximum2800
Range2789
Interquartile range (IQR)7

Descriptive statistics

Standard deviation182.3589417
Coefficient of variation (CV)4.754694817
Kurtosis230.646879
Mean38.35344828
Median Absolute Deviation (MAD)4
Skewness15.16582689
Sum8898
Variance33254.78362
MonotonicityNot monotonic
2024-05-04T15:21:37.345122image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
25 24
 
1.8%
22 18
 
1.3%
24 17
 
1.2%
23 15
 
1.1%
28 15
 
1.1%
21 14
 
1.0%
27 14
 
1.0%
16 11
 
0.8%
30 11
 
0.8%
19 10
 
0.7%
Other values (30) 83
 
6.1%
(Missing) 1138
83.1%
ValueCountFrequency (%)
11 2
 
0.1%
13 1
 
0.1%
14 2
 
0.1%
15 3
 
0.2%
16 11
0.8%
ValueCountFrequency (%)
2800 1
0.1%
115 1
0.1%
84 1
0.1%
52 1
0.1%
51 1
0.1%

FFQ_pHC
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)19.0%
Missing1138
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean55.79741379
Minimum6
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:37.549847image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile40.1
Q151
median57
Q362
95-th percentile68
Maximum79
Range73
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.948237993
Coefficient of variation (CV)0.1782920984
Kurtosis5.397450382
Mean55.79741379
Median Absolute Deviation (MAD)5
Skewness-1.603758846
Sum12945
Variance98.96743917
MonotonicityNot monotonic
2024-05-04T15:21:37.770676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
61 17
 
1.2%
58 15
 
1.1%
55 13
 
0.9%
54 13
 
0.9%
57 13
 
0.9%
63 10
 
0.7%
56 10
 
0.7%
59 9
 
0.7%
60 9
 
0.7%
64 9
 
0.7%
Other values (34) 114
 
8.3%
(Missing) 1138
83.1%
ValueCountFrequency (%)
6 1
0.1%
10 1
0.1%
16 1
0.1%
18 1
0.1%
28 1
0.1%
ValueCountFrequency (%)
79 1
 
0.1%
74 1
 
0.1%
72 2
0.1%
71 4
0.3%
70 2
0.1%

FFQ_pProt
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)12.1%
Missing1138
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean17.84051724
Minimum6
Maximum155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:38.066200image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile11
Q114
median16
Q319
95-th percentile26
Maximum155
Range149
Interquartile range (IQR)5

Descriptive statistics

Standard deviation11.32309809
Coefficient of variation (CV)0.6346844062
Kurtosis96.20367905
Mean17.84051724
Median Absolute Deviation (MAD)2
Skewness8.630799957
Sum4139
Variance128.2125504
MonotonicityNot monotonic
2024-05-04T15:21:38.292570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
17 32
 
2.3%
16 32
 
2.3%
18 22
 
1.6%
15 21
 
1.5%
13 18
 
1.3%
19 18
 
1.3%
12 16
 
1.2%
14 15
 
1.1%
20 11
 
0.8%
11 7
 
0.5%
Other values (18) 40
 
2.9%
(Missing) 1138
83.1%
ValueCountFrequency (%)
6 1
 
0.1%
7 1
 
0.1%
8 2
0.1%
9 1
 
0.1%
10 4
0.3%
ValueCountFrequency (%)
155 1
0.1%
70 1
0.1%
59 1
0.1%
54 1
0.1%
49 1
0.1%

FFQ_FOLATOmcg
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1138
Missing (%)83.1%
Memory size53.7 KiB

FFQ_DFE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1138
Missing (%)83.1%
Memory size53.7 KiB

FFQ_energia
Real number (ℝ)

MISSING 

Distinct231
Distinct (%)99.6%
Missing1138
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean2552.181582
Minimum486.4
Maximum35821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:38.490805image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum486.4
5-th percentile1122.917
Q11766.9475
median2348.9
Q32850.85
95-th percentile4132.477
Maximum35821
Range35334.6
Interquartile range (IQR)1083.9025

Descriptive statistics

Standard deviation2392.05004
Coefficient of variation (CV)0.9372569951
Kurtosis163.3311332
Mean2552.181582
Median Absolute Deviation (MAD)563.135
Skewness11.79198902
Sum592106.127
Variance5721903.396
MonotonicityNot monotonic
2024-05-04T15:21:38.686934image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1627 2
 
0.1%
2955.32 1
 
0.1%
1850.01 1
 
0.1%
2318 1
 
0.1%
2787.87 1
 
0.1%
35821 1
 
0.1%
1856.8 1
 
0.1%
4549 1
 
0.1%
2711.127 1
 
0.1%
2464.38 1
 
0.1%
Other values (221) 221
 
16.1%
(Missing) 1138
83.1%
ValueCountFrequency (%)
486.4 1
0.1%
873.49 1
0.1%
1002.75 1
0.1%
1021.98 1
0.1%
1023.41 1
0.1%
ValueCountFrequency (%)
35821 1
0.1%
6842.02 1
0.1%
6219.85 1
0.1%
5760.01 1
0.1%
4896.8 1
0.1%

AcFolico_supl
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)0.7%
Missing1093
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean0.9819494585
Minimum0
Maximum1
Zeros5
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:38.859264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1333751831
Coefficient of variation (CV)0.1358269328
Kurtosis51.36241063
Mean0.9819494585
Median Absolute Deviation (MAD)0
Skewness-7.279533331
Sum272
Variance0.01778893947
MonotonicityNot monotonic
2024-05-04T15:21:39.001850image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 272
 
19.9%
0 5
 
0.4%
(Missing) 1093
79.8%
ValueCountFrequency (%)
0 5
 
0.4%
1 272
19.9%
ValueCountFrequency (%)
1 272
19.9%
0 5
 
0.4%

AcFolico_marca
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1116
Missing (%)81.5%
Memory size53.7 KiB

AcFsup_dosis_mg
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1112
Missing (%)81.2%
Memory size53.7 KiB

supl_preconcep
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.7%
Missing1095
Missing (%)79.9%
Infinite0
Infinite (%)0.0%
Mean0.2181818182
Minimum0
Maximum1
Zeros215
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:39.140259image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4137645003
Coefficient of variation (CV)1.896420626
Kurtosis-0.1179921879
Mean0.2181818182
Median Absolute Deviation (MAD)0
Skewness1.372194974
Sum60
Variance0.1712010617
MonotonicityNot monotonic
2024-05-04T15:21:39.277261image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 215
 
15.7%
1 60
 
4.4%
(Missing) 1095
79.9%
ValueCountFrequency (%)
0 215
15.7%
1 60
 
4.4%
ValueCountFrequency (%)
1 60
 
4.4%
0 215
15.7%

supl_1erTrim
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)1.1%
Missing1096
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean0.8430656934
Minimum0
Maximum2
Zeros44
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:39.400411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3743214854
Coefficient of variation (CV)0.4440003766
Kurtosis1.574309417
Mean0.8430656934
Median Absolute Deviation (MAD)0
Skewness-1.683689827
Sum231
Variance0.1401165744
MonotonicityNot monotonic
2024-05-04T15:21:39.536527image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 229
 
16.7%
0 44
 
3.2%
2 1
 
0.1%
(Missing) 1096
80.0%
ValueCountFrequency (%)
0 44
 
3.2%
1 229
16.7%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
1 229
16.7%
0 44
 
3.2%

Multi0_acfol1
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)1.1%
Missing1106
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean0.428030303
Minimum0
Maximum2
Zeros152
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:39.674508image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5033446149
Coefficient of variation (CV)1.17595556
Kurtosis-1.635320582
Mean0.428030303
Median Absolute Deviation (MAD)0
Skewness0.382603803
Sum113
Variance0.2533558014
MonotonicityNot monotonic
2024-05-04T15:21:39.827942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 152
 
11.1%
1 111
 
8.1%
2 1
 
0.1%
(Missing) 1106
80.7%
ValueCountFrequency (%)
0 152
11.1%
1 111
8.1%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
1 111
8.1%
0 152
11.1%

iniciosupl_sdg
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)11.1%
Missing1099
Missing (%)80.2%
Infinite0
Infinite (%)0.0%
Mean4.834686347
Minimum0
Maximum34
Zeros59
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:39.993900image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q37
95-th percentile12
Maximum34
Range34
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.217974741
Coefficient of variation (CV)0.8724402037
Kurtosis8.065667154
Mean4.834686347
Median Absolute Deviation (MAD)3
Skewness1.701993523
Sum1310.2
Variance17.79131092
MonotonicityNot monotonic
2024-05-04T15:21:40.173846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 59
 
4.3%
4 45
 
3.3%
5 28
 
2.0%
6 20
 
1.5%
1 16
 
1.2%
8 16
 
1.2%
3 15
 
1.1%
9 13
 
0.9%
7 12
 
0.9%
10 11
 
0.8%
Other values (20) 36
 
2.6%
(Missing) 1099
80.2%
ValueCountFrequency (%)
0 59
4.3%
1 16
 
1.2%
2 4
 
0.3%
3 15
 
1.1%
4 45
3.3%
ValueCountFrequency (%)
34 1
 
0.1%
21 1
 
0.1%
17 1
 
0.1%
14 4
0.3%
13 2
0.1%

AcFolico_papa
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.7%
Missing1093
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean0.05054151625
Minimum0
Maximum1
Zeros263
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:40.342452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.2
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2194560037
Coefficient of variation (CV)4.342093788
Kurtosis15.13229815
Mean0.05054151625
Median Absolute Deviation (MAD)0
Skewness4.125904646
Sum14
Variance0.04816093758
MonotonicityNot monotonic
2024-05-04T15:21:40.477466image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 263
 
19.2%
1 14
 
1.0%
(Missing) 1093
79.8%
ValueCountFrequency (%)
0 263
19.2%
1 14
 
1.0%
ValueCountFrequency (%)
1 14
 
1.0%
0 263
19.2%

Ins_1av
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)86.2%
Missing1341
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean10.39655172
Minimum0
Maximum32.6
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:40.631434image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.4
median8.9
Q312.6
95-th percentile23.04
Maximum32.6
Range32.6
Interquartile range (IQR)6.2

Descriptive statistics

Standard deviation7.009966515
Coefficient of variation (CV)0.6742588024
Kurtosis2.789111458
Mean10.39655172
Median Absolute Deviation (MAD)2.7
Skewness1.298432179
Sum301.5
Variance49.13963054
MonotonicityNot monotonic
2024-05-04T15:21:40.787154image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 3
 
0.2%
12.6 2
 
0.1%
6.4 2
 
0.1%
12.7 1
 
0.1%
21.9 1
 
0.1%
8.9 1
 
0.1%
8.2 1
 
0.1%
18.5 1
 
0.1%
23.8 1
 
0.1%
9.2 1
 
0.1%
Other values (15) 15
 
1.1%
(Missing) 1341
97.9%
ValueCountFrequency (%)
0 3
0.2%
5.1 1
 
0.1%
6.1 1
 
0.1%
6.3 1
 
0.1%
6.4 2
0.1%
ValueCountFrequency (%)
32.6 1
0.1%
23.8 1
0.1%
21.9 1
0.1%
18.5 1
0.1%
14.9 1
0.1%

Gluc_1av
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)16.7%
Missing1161
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean85.11961722
Minimum68
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:40.963176image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum68
5-th percentile76
Q181
median84
Q388
95-th percentile96
Maximum115
Range47
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.647009727
Coefficient of variation (CV)0.07809022108
Kurtosis1.85428281
Mean85.11961722
Median Absolute Deviation (MAD)4
Skewness0.6659797503
Sum17790
Variance44.18273831
MonotonicityNot monotonic
2024-05-04T15:21:41.156582image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
88 18
 
1.3%
83 18
 
1.3%
82 17
 
1.2%
84 14
 
1.0%
80 12
 
0.9%
86 12
 
0.9%
87 11
 
0.8%
89 10
 
0.7%
85 10
 
0.7%
81 10
 
0.7%
Other values (25) 77
 
5.6%
(Missing) 1161
84.7%
ValueCountFrequency (%)
68 1
 
0.1%
70 1
 
0.1%
71 1
 
0.1%
72 3
0.2%
74 2
0.1%
ValueCountFrequency (%)
115 1
0.1%
104 2
0.1%
103 1
0.1%
101 1
0.1%
100 1
0.1%

Col_1av
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)53.6%
Missing1161
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean182.1933014
Minimum79
Maximum1995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:41.349785image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum79
5-th percentile118.6
Q1151
median172
Q3194
95-th percentile235
Maximum1995
Range1916
Interquartile range (IQR)43

Descriptive statistics

Standard deviation132.2502063
Coefficient of variation (CV)0.7258785327
Kurtosis171.7086607
Mean182.1933014
Median Absolute Deviation (MAD)21
Skewness12.51110284
Sum38078.4
Variance17490.11707
MonotonicityNot monotonic
2024-05-04T15:21:41.563681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
154 5
 
0.4%
180 5
 
0.4%
172 5
 
0.4%
153 4
 
0.3%
178 4
 
0.3%
179 4
 
0.3%
165 4
 
0.3%
168 4
 
0.3%
145 4
 
0.3%
144 4
 
0.3%
Other values (102) 166
 
12.1%
(Missing) 1161
84.7%
ValueCountFrequency (%)
79 1
0.1%
82 2
0.1%
84 1
0.1%
88 1
0.1%
89 1
0.1%
ValueCountFrequency (%)
1995 1
0.1%
365 1
0.1%
353 1
0.1%
290 2
0.1%
266 1
0.1%

Tg_1av
Real number (ℝ)

MISSING 

Distinct125
Distinct (%)59.8%
Missing1161
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean147.6550239
Minimum52
Maximum349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:41.753213image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile74
Q1109
median143
Q3175
95-th percentile246.6
Maximum349
Range297
Interquartile range (IQR)66

Descriptive statistics

Standard deviation55.8162911
Coefficient of variation (CV)0.3780182321
Kurtosis1.723164241
Mean147.6550239
Median Absolute Deviation (MAD)34
Skewness1.073429262
Sum30859.9
Variance3115.458352
MonotonicityNot monotonic
2024-05-04T15:21:41.952874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184 5
 
0.4%
151 5
 
0.4%
99 4
 
0.3%
154 4
 
0.3%
92 4
 
0.3%
172 4
 
0.3%
133 4
 
0.3%
109 4
 
0.3%
145 4
 
0.3%
126 3
 
0.2%
Other values (115) 168
 
12.3%
(Missing) 1161
84.7%
ValueCountFrequency (%)
52 2
0.1%
54 1
0.1%
59 1
0.1%
62 1
0.1%
66.9 1
0.1%
ValueCountFrequency (%)
349 1
0.1%
348 1
0.1%
344 1
0.1%
322 1
0.1%
306 1
0.1%

LDL_1av
Real number (ℝ)

MISSING 

Distinct156
Distinct (%)75.4%
Missing1163
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean88.69758454
Minimum36.6
Maximum477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:42.517742image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum36.6
5-th percentile43
Q168
median85
Q3102.5
95-th percentile132
Maximum477
Range440.4
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation40.75116943
Coefficient of variation (CV)0.4594394497
Kurtosis41.46544967
Mean88.69758454
Median Absolute Deviation (MAD)17
Skewness4.877867892
Sum18360.4
Variance1660.65781
MonotonicityNot monotonic
2024-05-04T15:21:42.735075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76 4
 
0.3%
99.8 3
 
0.2%
51 3
 
0.2%
94.2 3
 
0.2%
76.8 3
 
0.2%
66 3
 
0.2%
98 3
 
0.2%
44 3
 
0.2%
40 3
 
0.2%
71 3
 
0.2%
Other values (146) 176
 
12.8%
(Missing) 1163
84.9%
ValueCountFrequency (%)
36.6 1
 
0.1%
37 1
 
0.1%
39 2
0.1%
40 3
0.2%
41 1
 
0.1%
ValueCountFrequency (%)
477 1
0.1%
274.4 1
0.1%
228 1
0.1%
167.8 1
0.1%
154.6 1
0.1%

HDL_1av
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)42.3%
Missing1162
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean60.48653846
Minimum31
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:42.965386image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile37
Q148
median57
Q369.25
95-th percentile93.51
Maximum137
Range106
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation18.22442518
Coefficient of variation (CV)0.3012972083
Kurtosis2.055867572
Mean60.48653846
Median Absolute Deviation (MAD)11
Skewness1.175864973
Sum12581.2
Variance332.129673
MonotonicityNot monotonic
2024-05-04T15:21:43.217960image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 9
 
0.7%
51 9
 
0.7%
52 8
 
0.6%
43 7
 
0.5%
56 7
 
0.5%
59 6
 
0.4%
47 6
 
0.4%
44 5
 
0.4%
37 5
 
0.4%
54 5
 
0.4%
Other values (78) 141
 
10.3%
(Missing) 1162
84.8%
ValueCountFrequency (%)
31 1
 
0.1%
32 1
 
0.1%
33 2
0.1%
34 3
0.2%
35 1
 
0.1%
ValueCountFrequency (%)
137 1
0.1%
130.8 1
0.1%
110.8 1
0.1%
109 1
0.1%
108.4 1
0.1%

Pgn_1av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1348
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean50.775
Minimum14.945
Maximum112.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:43.410874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum14.945
5-th percentile25.89925
Q137.591
median43.653
Q363.4435
95-th percentile80.738
Maximum112.4
Range97.455
Interquartile range (IQR)25.8525

Descriptive statistics

Standard deviation22.39192031
Coefficient of variation (CV)0.4410028618
Kurtosis1.297580141
Mean50.775
Median Absolute Deviation (MAD)12.27
Skewness0.9979608152
Sum1117.05
Variance501.398095
MonotonicityNot monotonic
2024-05-04T15:21:43.571126image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
43.692 1
 
0.1%
112.4 1
 
0.1%
39.493 1
 
0.1%
43.614 1
 
0.1%
45.111 1
 
0.1%
71.938 1
 
0.1%
31.232 1
 
0.1%
77.85 1
 
0.1%
80.89 1
 
0.1%
42.154 1
 
0.1%
Other values (12) 12
 
0.9%
(Missing) 1348
98.4%
ValueCountFrequency (%)
14.945 1
0.1%
25.724 1
0.1%
29.229 1
0.1%
31.232 1
0.1%
31.534 1
0.1%
ValueCountFrequency (%)
112.4 1
0.1%
80.89 1
0.1%
77.85 1
0.1%
74.281 1
0.1%
71.938 1
0.1%

E2_1av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1348
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean1511.648182
Minimum475.42
Maximum3222.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:43.704941image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum475.42
5-th percentile503.6845
Q1902.975
median1234.4
Q32263.725
95-th percentile2972.25
Maximum3222.8
Range2747.38
Interquartile range (IQR)1360.75

Descriptive statistics

Standard deviation880.0596861
Coefficient of variation (CV)0.5821855222
Kurtosis-0.918445532
Mean1511.648182
Median Absolute Deviation (MAD)602.26
Skewness0.6401622791
Sum33256.26
Variance774505.0512
MonotonicityNot monotonic
2024-05-04T15:21:43.850916image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1431.4 1
 
0.1%
3222.8 1
 
0.1%
2155.8 1
 
0.1%
726.67 1
 
0.1%
1187.1 1
 
0.1%
502.33 1
 
0.1%
1186.1 1
 
0.1%
2980.7 1
 
0.1%
1281.7 1
 
0.1%
985.27 1
 
0.1%
Other values (12) 12
 
0.9%
(Missing) 1348
98.4%
ValueCountFrequency (%)
475.42 1
0.1%
502.33 1
0.1%
529.42 1
0.1%
537.61 1
0.1%
726.67 1
0.1%
ValueCountFrequency (%)
3222.8 1
0.1%
2980.7 1
0.1%
2811.7 1
0.1%
2700.8 1
0.1%
2445.9 1
0.1%

Lep_1av
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1350
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean11.38855
Minimum4.491
Maximum19.299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:44.002570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.491
5-th percentile5.51985
Q16.92475
median11.1565
Q314.599
95-th percentile19.01685
Maximum19.299
Range14.808
Interquartile range (IQR)7.67425

Descriptive statistics

Standard deviation4.987163717
Coefficient of variation (CV)0.4379103325
Kurtosis-1.272179628
Mean11.38855
Median Absolute Deviation (MAD)4.302
Skewness0.3070874335
Sum227.771
Variance24.87180194
MonotonicityNot monotonic
2024-05-04T15:21:44.185507image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8.841 1
 
0.1%
6.714 1
 
0.1%
11.37 1
 
0.1%
14.167 1
 
0.1%
19.299 1
 
0.1%
18.901 1
 
0.1%
10.943 1
 
0.1%
15.895 1
 
0.1%
7.104 1
 
0.1%
5.574 1
 
0.1%
Other values (10) 10
 
0.7%
(Missing) 1350
98.5%
ValueCountFrequency (%)
4.491 1
0.1%
5.574 1
0.1%
5.676 1
0.1%
6.219 1
0.1%
6.714 1
0.1%
ValueCountFrequency (%)
19.299 1
0.1%
19.002 1
0.1%
18.901 1
0.1%
18.055 1
0.1%
15.895 1
0.1%

Adipo_1av
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing1343
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean10.93225926
Minimum3.351
Maximum24.221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:44.356856image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.351
5-th percentile5.6267
Q18.5645
median9.788
Q313.0965
95-th percentile17.8944
Maximum24.221
Range20.87
Interquartile range (IQR)4.532

Descriptive statistics

Standard deviation4.420157843
Coefficient of variation (CV)0.4043224495
Kurtosis1.953152945
Mean10.93225926
Median Absolute Deviation (MAD)1.718
Skewness1.131881923
Sum295.171
Variance19.53779535
MonotonicityNot monotonic
2024-05-04T15:21:44.514599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
9.217 1
 
0.1%
16.127 1
 
0.1%
13.779 1
 
0.1%
9.788 1
 
0.1%
5.453 1
 
0.1%
16.703 1
 
0.1%
18.405 1
 
0.1%
3.351 1
 
0.1%
11.046 1
 
0.1%
9.827 1
 
0.1%
Other values (17) 17
 
1.2%
(Missing) 1343
98.0%
ValueCountFrequency (%)
3.351 1
0.1%
5.453 1
0.1%
6.032 1
0.1%
6.848 1
0.1%
8.021 1
0.1%
ValueCountFrequency (%)
24.221 1
0.1%
18.405 1
0.1%
16.703 1
0.1%
16.127 1
0.1%
15.116 1
0.1%

Peso_1av
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)75.7%
Missing1156
Missing (%)84.4%
Infinite0
Infinite (%)0.0%
Mean64.13336449
Minimum1.56
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:44.689055image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.56
5-th percentile45.065
Q154.7
median62.95
Q371.925
95-th percentile87.745
Maximum119
Range117.44
Interquartile range (IQR)17.225

Descriptive statistics

Standard deviation13.66505976
Coefficient of variation (CV)0.2130725538
Kurtosis2.616338576
Mean64.13336449
Median Absolute Deviation (MAD)8.6
Skewness0.3161189733
Sum13724.54
Variance186.7338581
MonotonicityNot monotonic
2024-05-04T15:21:44.878968image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.5 4
 
0.3%
53.3 4
 
0.3%
74 4
 
0.3%
50 3
 
0.2%
60.3 3
 
0.2%
72.4 3
 
0.2%
61.8 3
 
0.2%
54.7 3
 
0.2%
51.5 3
 
0.2%
63 3
 
0.2%
Other values (152) 181
 
13.2%
(Missing) 1156
84.4%
ValueCountFrequency (%)
1.56 1
0.1%
37.5 1
0.1%
42.3 1
0.1%
42.8 1
0.1%
43 1
0.1%
ValueCountFrequency (%)
119 1
0.1%
106 1
0.1%
100.2 1
0.1%
99.5 1
0.1%
92.8 1
0.1%

Talla_1av
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)21.4%
Missing1155
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean1.873413953
Minimum1.43
Maximum63.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:45.063455image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.43
5-th percentile1.4985
Q11.55
median1.585
Q31.62
95-th percentile1.68
Maximum63.5
Range62.07
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation4.22290753
Coefficient of variation (CV)2.254124094
Kurtosis214.923694
Mean1.873413953
Median Absolute Deviation (MAD)0.035
Skewness14.65899333
Sum402.784
Variance17.83294801
MonotonicityNot monotonic
2024-05-04T15:21:45.242767image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1.56 18
 
1.3%
1.62 17
 
1.2%
1.6 17
 
1.2%
1.59 16
 
1.2%
1.55 15
 
1.1%
1.58 13
 
0.9%
1.54 10
 
0.7%
1.57 10
 
0.7%
1.64 10
 
0.7%
1.52 9
 
0.7%
Other values (36) 80
 
5.8%
(Missing) 1155
84.3%
ValueCountFrequency (%)
1.43 1
0.1%
1.44 2
0.1%
1.45 1
0.1%
1.46 1
0.1%
1.47 1
0.1%
ValueCountFrequency (%)
63.5 1
0.1%
1.73 2
0.1%
1.72 2
0.1%
1.71 2
0.1%
1.7 1
0.1%

CMB_1av
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)26.1%
Missing1159
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean29.08957346
Minimum21
Maximum48.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:45.421285image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile23.5
Q126.4
median28.7
Q331.5
95-th percentile36.25
Maximum48.8
Range27.8
Interquartile range (IQR)5.1

Descriptive statistics

Standard deviation4.041968557
Coefficient of variation (CV)0.1389490486
Kurtosis2.109973454
Mean29.08957346
Median Absolute Deviation (MAD)2.7
Skewness0.8868489292
Sum6137.9
Variance16.33750982
MonotonicityNot monotonic
2024-05-04T15:21:45.617420image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 14
 
1.0%
30 12
 
0.9%
32 12
 
0.9%
26 12
 
0.9%
28.5 11
 
0.8%
27.5 11
 
0.8%
26.5 10
 
0.7%
27 8
 
0.6%
28 8
 
0.6%
31 8
 
0.6%
Other values (45) 105
 
7.7%
(Missing) 1159
84.6%
ValueCountFrequency (%)
21 1
 
0.1%
22 3
0.2%
22.3 1
 
0.1%
22.5 2
0.1%
23 1
 
0.1%
ValueCountFrequency (%)
48.8 1
 
0.1%
40.5 1
 
0.1%
39.5 1
 
0.1%
38 5
0.4%
37 1
 
0.1%

PCT_1av
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1157
Missing (%)84.5%
Memory size53.7 KiB

Peso_actual2
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)81.6%
Missing1212
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean67.58481013
Minimum0
Maximum104.2
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:45.907323image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50.925
Q158.625
median66.7
Q374.775
95-th percentile89.415
Maximum104.2
Range104.2
Interquartile range (IQR)16.15

Descriptive statistics

Standard deviation12.82691824
Coefficient of variation (CV)0.1897899575
Kurtosis4.19298972
Mean67.58481013
Median Absolute Deviation (MAD)8.1
Skewness-0.4849891967
Sum10678.4
Variance164.5298315
MonotonicityNot monotonic
2024-05-04T15:21:46.211926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.1 4
 
0.3%
70.9 3
 
0.2%
70 3
 
0.2%
58.5 2
 
0.1%
58.6 2
 
0.1%
64.1 2
 
0.1%
69 2
 
0.1%
53.7 2
 
0.1%
64.8 2
 
0.1%
72 2
 
0.1%
Other values (119) 134
 
9.8%
(Missing) 1212
88.5%
ValueCountFrequency (%)
0 1
0.1%
43.8 1
0.1%
45 1
0.1%
47.6 1
0.1%
49.7 1
0.1%
ValueCountFrequency (%)
104.2 1
0.1%
97.7 1
0.1%
95.5 1
0.1%
95.2 1
0.1%
92.4 1
0.1%

GER2
Real number (ℝ)

MISSING 

Distinct157
Distinct (%)99.4%
Missing1212
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean1568.216291
Minimum1.585
Maximum18230.67848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:46.478868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.585
5-th percentile1054.809129
Q11333.46494
median1472.25492
Q31610.449205
95-th percentile1862.931563
Maximum18230.67848
Range18229.09348
Interquartile range (IQR)276.984265

Descriptive statistics

Standard deviation1358.166379
Coefficient of variation (CV)0.8660580728
Kurtosis146.8721026
Mean1568.216291
Median Absolute Deviation (MAD)139.6591616
Skewness11.89426462
Sum247778.174
Variance1844615.913
MonotonicityNot monotonic
2024-05-04T15:21:46.776112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1461.639552 2
 
0.1%
1374.23855 1
 
0.1%
1384.937547 1
 
0.1%
1501.819073 1
 
0.1%
1391.140094 1
 
0.1%
1624.878064 1
 
0.1%
1665.212491 1
 
0.1%
1388.169724 1
 
0.1%
1321.17447 1
 
0.1%
1472.692453 1
 
0.1%
Other values (147) 147
 
10.7%
(Missing) 1212
88.5%
ValueCountFrequency (%)
1.585 1
0.1%
667.557086 1
0.1%
922.421659 1
0.1%
946.6539447 1
0.1%
974.7204766 1
0.1%
ValueCountFrequency (%)
18230.67848 1
0.1%
2032.589167 1
0.1%
1921.504045 1
0.1%
1913.8509 1
0.1%
1900.401059 1
0.1%

Kcaltotales_cons2
Real number (ℝ)

MISSING 

Distinct150
Distinct (%)100.0%
Missing1220
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean2524.847267
Minimum805.6
Maximum21106.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:47.036335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum805.6
5-th percentile1039.098
Q11499.8
median1861.65
Q32498.8
95-th percentile3525.479
Maximum21106.7
Range20301.1
Interquartile range (IQR)999

Descriptive statistics

Standard deviation2928.914062
Coefficient of variation (CV)1.160036134
Kurtosis26.67983165
Mean2524.847267
Median Absolute Deviation (MAD)435.465
Skewness5.064539879
Sum378727.09
Variance8578537.58
MonotonicityNot monotonic
2024-05-04T15:21:47.343830image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1340.55 1
 
0.1%
1657.43 1
 
0.1%
3277.65 1
 
0.1%
2831 1
 
0.1%
1409.16 1
 
0.1%
3056 1
 
0.1%
2549.4 1
 
0.1%
1796.36 1
 
0.1%
2077 1
 
0.1%
1447.34 1
 
0.1%
Other values (140) 140
 
10.2%
(Missing) 1220
89.1%
ValueCountFrequency (%)
805.6 1
0.1%
849.82 1
0.1%
866.65 1
0.1%
893.6 1
0.1%
941.51 1
0.1%
ValueCountFrequency (%)
21106.7 1
0.1%
20366 1
0.1%
17751.07 1
0.1%
15952 1
0.1%
11311.09 1
0.1%

p_proteina2
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)17.3%
Missing1220
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean17.68
Minimum6
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:47.538783image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q114
median17
Q320
95-th percentile26.55
Maximum64
Range58
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.321710753
Coefficient of variation (CV)0.3575628254
Kurtosis18.60484772
Mean17.68
Median Absolute Deviation (MAD)3
Skewness2.920966646
Sum2652
Variance39.96402685
MonotonicityNot monotonic
2024-05-04T15:21:47.730219image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
15 15
 
1.1%
19 15
 
1.1%
14 13
 
0.9%
18 12
 
0.9%
17 11
 
0.8%
22 9
 
0.7%
20 9
 
0.7%
16 8
 
0.6%
13 7
 
0.5%
11 7
 
0.5%
Other values (16) 44
 
3.2%
(Missing) 1220
89.1%
ValueCountFrequency (%)
6 1
 
0.1%
9 3
0.2%
10 7
0.5%
11 7
0.5%
12 7
0.5%
ValueCountFrequency (%)
64 1
0.1%
36 1
0.1%
32 1
0.1%
30 1
0.1%
29 1
0.1%

p_HC2
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)29.3%
Missing1220
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean52.7
Minimum4
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:47.983811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile34.9
Q148
median52.5
Q359.75
95-th percentile68.55
Maximum78
Range74
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation11.14682367
Coefficient of variation (CV)0.2115146806
Kurtosis2.908840003
Mean52.7
Median Absolute Deviation (MAD)6.5
Skewness-1.012934382
Sum7905
Variance124.2516779
MonotonicityNot monotonic
2024-05-04T15:21:48.291103image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
48 9
 
0.7%
51 9
 
0.7%
58 9
 
0.7%
52 9
 
0.7%
49 7
 
0.5%
59 7
 
0.5%
65 5
 
0.4%
54 5
 
0.4%
47 5
 
0.4%
67 5
 
0.4%
Other values (34) 80
 
5.8%
(Missing) 1220
89.1%
ValueCountFrequency (%)
4 1
0.1%
11 1
0.1%
24 1
0.1%
26 1
0.1%
27 1
0.1%
ValueCountFrequency (%)
78 1
0.1%
73 2
0.1%
72 2
0.1%
70 1
0.1%
69 2
0.1%

p_lipidos2
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)24.7%
Missing1220
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean29.2
Minimum11
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:48.570192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile16
Q123
median28
Q334.75
95-th percentile45.55
Maximum63
Range52
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation9.084244049
Coefficient of variation (CV)0.3111042482
Kurtosis1.170981528
Mean29.2
Median Absolute Deviation (MAD)5
Skewness0.8651913493
Sum4380
Variance82.52348993
MonotonicityNot monotonic
2024-05-04T15:21:48.770452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
23 10
 
0.7%
26 9
 
0.7%
24 9
 
0.7%
31 9
 
0.7%
28 9
 
0.7%
27 7
 
0.5%
30 7
 
0.5%
22 6
 
0.4%
32 6
 
0.4%
20 5
 
0.4%
Other values (27) 73
 
5.3%
(Missing) 1220
89.1%
ValueCountFrequency (%)
11 1
 
0.1%
15 3
0.2%
16 5
0.4%
17 3
0.2%
18 4
0.3%
ValueCountFrequency (%)
63 1
0.1%
57 1
0.1%
55 1
0.1%
54 1
0.1%
48 1
0.1%

Folato_R24Hmcg2
Real number (ℝ)

MISSING 

Distinct150
Distinct (%)100.0%
Missing1220
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean378.9584667
Minimum117.86
Maximum1495.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:48.964995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum117.86
5-th percentile148.505
Q1251.4375
median347.63
Q3449.2025
95-th percentile714.459
Maximum1495.1
Range1377.24
Interquartile range (IQR)197.765

Descriptive statistics

Standard deviation199.2877984
Coefficient of variation (CV)0.5258829552
Kurtosis8.337698553
Mean378.9584667
Median Absolute Deviation (MAD)99.85
Skewness2.25168885
Sum56843.77
Variance39715.62657
MonotonicityNot monotonic
2024-05-04T15:21:49.173764image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230.87 1
 
0.1%
434.98 1
 
0.1%
375.27 1
 
0.1%
675.5 1
 
0.1%
167.81 1
 
0.1%
468.33 1
 
0.1%
393.17 1
 
0.1%
295.88 1
 
0.1%
350.39 1
 
0.1%
222.33 1
 
0.1%
Other values (140) 140
 
10.2%
(Missing) 1220
89.1%
ValueCountFrequency (%)
117.86 1
0.1%
130.08 1
0.1%
130.5 1
0.1%
130.85 1
0.1%
135.17 1
0.1%
ValueCountFrequency (%)
1495.1 1
0.1%
1177.82 1
0.1%
1097.15 1
0.1%
956.1 1
0.1%
911.58 1
0.1%

DFE_R24H2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1220
Missing (%)89.1%
Memory size53.7 KiB

AcFolico_supl2
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)1.3%
Missing1215
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean0.9870967742
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:49.325809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1132229598
Coefficient of variation (CV)0.1147029985
Kurtosis74.94745611
Mean0.9870967742
Median Absolute Deviation (MAD)0
Skewness-8.716678192
Sum153
Variance0.01281943863
MonotonicityNot monotonic
2024-05-04T15:21:49.457210image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 153
 
11.2%
0 2
 
0.1%
(Missing) 1215
88.7%
ValueCountFrequency (%)
0 2
 
0.1%
1 153
11.2%
ValueCountFrequency (%)
1 153
11.2%
0 2
 
0.1%

AcFolico_marca2
Text

MISSING 

Distinct74
Distinct (%)48.1%
Missing1216
Missing (%)88.8%
Memory size53.7 KiB
2024-05-04T15:21:49.675144image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length33
Median length24
Mean length10.27922078
Min length3

Characters and Unicode

Total characters1583
Distinct characters44
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)35.7%

Sample

1st rowSeguro popular
2nd rowmaterna
3rd rowMaterna
4th rowSSA
5th rowMaterna
ValueCountFrequency (%)
materna 25
 
15.4%
ssa 11
 
6.8%
valdecasas 10
 
6.2%
natele 9
 
5.6%
folivital 9
 
5.6%
matruelle 8
 
4.9%
elevit 7
 
4.3%
cilocid 7
 
4.3%
ferraninafol 3
 
1.9%
regeneis 3
 
1.9%
Other values (61) 70
43.2%
2024-05-04T15:21:50.186045image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 216
13.6%
E 143
 
9.0%
L 122
 
7.7%
I 105
 
6.6%
T 97
 
6.1%
R 91
 
5.7%
N 89
 
5.6%
S 83
 
5.2%
M 72
 
4.5%
O 52
 
3.3%
Other values (34) 513
32.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1583
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 216
13.6%
E 143
 
9.0%
L 122
 
7.7%
I 105
 
6.6%
T 97
 
6.1%
R 91
 
5.7%
N 89
 
5.6%
S 83
 
5.2%
M 72
 
4.5%
O 52
 
3.3%
Other values (34) 513
32.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1583
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 216
13.6%
E 143
 
9.0%
L 122
 
7.7%
I 105
 
6.6%
T 97
 
6.1%
R 91
 
5.7%
N 89
 
5.6%
S 83
 
5.2%
M 72
 
4.5%
O 52
 
3.3%
Other values (34) 513
32.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1583
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 216
13.6%
E 143
 
9.0%
L 122
 
7.7%
I 105
 
6.6%
T 97
 
6.1%
R 91
 
5.7%
N 89
 
5.6%
S 83
 
5.2%
M 72
 
4.5%
O 52
 
3.3%
Other values (34) 513
32.4%

AcFsup_dosis_mg2
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)10.4%
Missing1216
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean1.059415584
Minimum0
Maximum6
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:50.383517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q10.4
median0.8
Q31
95-th percentile4.35
Maximum6
Range6
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation1.170355087
Coefficient of variation (CV)1.104717642
Kurtosis9.991235363
Mean1.059415584
Median Absolute Deviation (MAD)0.2
Skewness3.227000893
Sum163.15
Variance1.369731029
MonotonicityNot monotonic
2024-05-04T15:21:50.935695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.4 46
 
3.4%
1 39
 
2.8%
0.8 21
 
1.5%
0.6 19
 
1.4%
1.4 7
 
0.5%
1.2 5
 
0.4%
6 3
 
0.2%
5 3
 
0.2%
1.8 2
 
0.1%
1.6 2
 
0.1%
Other values (6) 7
 
0.5%
(Missing) 1216
88.8%
ValueCountFrequency (%)
0 1
 
0.1%
0.4 46
3.4%
0.6 19
1.4%
0.8 21
1.5%
1 39
2.8%
ValueCountFrequency (%)
6 3
0.2%
5.8 1
 
0.1%
5.6 1
 
0.1%
5 3
0.2%
4 2
0.1%

Multi0_acfol1_3
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)1.3%
Missing1215
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean0.3161290323
Minimum0
Maximum1
Zeros106
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:51.095838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4664711223
Coefficient of variation (CV)1.475571917
Kurtosis-1.380129013
Mean0.3161290323
Median Absolute Deviation (MAD)0
Skewness0.7986539827
Sum49
Variance0.2175953079
MonotonicityNot monotonic
2024-05-04T15:21:51.290653image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 106
 
7.7%
1 49
 
3.6%
(Missing) 1215
88.7%
ValueCountFrequency (%)
0 106
7.7%
1 49
3.6%
ValueCountFrequency (%)
1 49
3.6%
0 106
7.7%

Peso_2av
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)82.4%
Missing1211
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean67.47735849
Minimum0
Maximum104.2
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:51.513337image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50.46
Q158.6
median66.5
Q374.75
95-th percentile89.41
Maximum104.2
Range104.2
Interquartile range (IQR)16.15

Descriptive statistics

Standard deviation12.87260817
Coefficient of variation (CV)0.1907692959
Kurtosis4.061955465
Mean67.47735849
Median Absolute Deviation (MAD)8
Skewness-0.4730636448
Sum10728.9
Variance165.7040411
MonotonicityNot monotonic
2024-05-04T15:21:51.776241image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.1 4
 
0.3%
70.9 3
 
0.2%
70 3
 
0.2%
67.5 2
 
0.1%
53.7 2
 
0.1%
69 2
 
0.1%
58.6 2
 
0.1%
65.1 2
 
0.1%
63.5 2
 
0.1%
72 2
 
0.1%
Other values (121) 135
 
9.9%
(Missing) 1211
88.4%
ValueCountFrequency (%)
0 1
0.1%
43.8 1
0.1%
45 1
0.1%
47.6 1
0.1%
48 1
0.1%
ValueCountFrequency (%)
104.2 1
0.1%
97.7 1
0.1%
95.5 1
0.1%
95.2 1
0.1%
92.4 1
0.1%

Talla_2av
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)20.5%
Missing1165
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean1.585873171
Minimum1.43
Maximum1.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:51.975528image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.43
5-th percentile1.496
Q11.55
median1.59
Q31.62
95-th percentile1.68
Maximum1.73
Range0.3
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.0568164702
Coefficient of variation (CV)0.03582661669
Kurtosis0.187057596
Mean1.585873171
Median Absolute Deviation (MAD)0.04
Skewness0.03861792651
Sum325.104
Variance0.003228111286
MonotonicityNot monotonic
2024-05-04T15:21:52.161038image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1.6 17
 
1.2%
1.56 17
 
1.2%
1.62 16
 
1.2%
1.59 15
 
1.1%
1.55 14
 
1.0%
1.58 13
 
0.9%
1.54 10
 
0.7%
1.64 10
 
0.7%
1.57 10
 
0.7%
1.63 9
 
0.7%
Other values (32) 74
 
5.4%
(Missing) 1165
85.0%
ValueCountFrequency (%)
1.43 1
0.1%
1.44 2
0.1%
1.45 1
0.1%
1.46 1
0.1%
1.47 1
0.1%
ValueCountFrequency (%)
1.73 2
 
0.1%
1.72 2
 
0.1%
1.71 2
 
0.1%
1.7 1
 
0.1%
1.68 9
0.7%

CMB_2av
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)34.4%
Missing1216
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean28.70032468
Minimum3.5
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:52.348322image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile23.195
Q126.5
median29
Q331
95-th percentile35.175
Maximum39
Range35.5
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.155020967
Coefficient of variation (CV)0.144772612
Kurtosis8.331442795
Mean28.70032468
Median Absolute Deviation (MAD)2
Skewness-1.216754957
Sum4419.85
Variance17.26419924
MonotonicityNot monotonic
2024-05-04T15:21:52.531590image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 10
 
0.7%
28 10
 
0.7%
31 9
 
0.7%
30 9
 
0.7%
25 8
 
0.6%
27 8
 
0.6%
30.5 8
 
0.6%
26 7
 
0.5%
32 6
 
0.4%
25.5 6
 
0.4%
Other values (43) 73
 
5.3%
(Missing) 1216
88.8%
ValueCountFrequency (%)
3.5 1
0.1%
18 1
0.1%
20 1
0.1%
22 1
0.1%
22.3 1
0.1%
ValueCountFrequency (%)
39 2
0.1%
38.5 1
0.1%
38 1
0.1%
37.5 1
0.1%
36 2
0.1%

PCT_2av
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)35.1%
Missing1216
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean26.35681818
Minimum7.5
Maximum48.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:52.752661image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.5
5-th percentile16
Q122.5
median26.5
Q330.5
95-th percentile36
Maximum48.5
Range41
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.387702821
Coefficient of variation (CV)0.2423548539
Kurtosis0.7533780228
Mean26.35681818
Median Absolute Deviation (MAD)4
Skewness-0.001284934057
Sum4058.95
Variance40.80274733
MonotonicityNot monotonic
2024-05-04T15:21:52.941537image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 8
 
0.6%
25 8
 
0.6%
31.5 6
 
0.4%
22.5 6
 
0.4%
23.5 6
 
0.4%
29.5 6
 
0.4%
24.5 6
 
0.4%
27 5
 
0.4%
23 5
 
0.4%
20.5 5
 
0.4%
Other values (44) 93
 
6.8%
(Missing) 1216
88.8%
ValueCountFrequency (%)
7.5 1
0.1%
10 1
0.1%
10.5 1
0.1%
12.25 1
0.1%
14.5 1
0.1%
ValueCountFrequency (%)
48.5 1
0.1%
43 1
0.1%
39.5 1
0.1%
38.5 1
0.1%
38 1
0.1%

nvos
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)0.5%
Missing1179
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:53.124679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum191
Variance0
MonotonicityIncreasing
2024-05-04T15:21:53.244048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 191
 
13.9%
(Missing) 1179
86.1%
ValueCountFrequency (%)
1 191
13.9%
ValueCountFrequency (%)
1 191
13.9%

ins_pp_nutri
Real number (ℝ)

MISSING 

Distinct149
Distinct (%)62.9%
Missing1133
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean12.69915612
Minimum0.4
Maximum78.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:53.408685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile3.48
Q16.5
median9.8
Q316.4
95-th percentile31.1
Maximum78.6
Range78.2
Interquartile range (IQR)9.9

Descriptive statistics

Standard deviation10.04167583
Coefficient of variation (CV)0.7907356787
Kurtosis11.10174728
Mean12.69915612
Median Absolute Deviation (MAD)4
Skewness2.735292781
Sum3009.7
Variance100.8352535
MonotonicityNot monotonic
2024-05-04T15:21:53.623715image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.7 5
 
0.4%
6.5 5
 
0.4%
4.6 5
 
0.4%
6.3 5
 
0.4%
9.1 5
 
0.4%
11.1 5
 
0.4%
9.6 4
 
0.3%
7.3 4
 
0.3%
3.2 4
 
0.3%
10.1 3
 
0.2%
Other values (139) 192
 
14.0%
(Missing) 1133
82.7%
ValueCountFrequency (%)
0.4 1
0.1%
1.5 1
0.1%
2.3 1
0.1%
2.6 1
0.1%
2.7 1
0.1%
ValueCountFrequency (%)
78.6 1
0.1%
58.7 1
0.1%
56.1 1
0.1%
47.7 1
0.1%
46.2 1
0.1%

gluc_pp_nutri
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)15.9%
Missing862
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean96.06673228
Minimum58
Maximum304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:53.828434image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile77
Q187
median93
Q3101
95-th percentile120.65
Maximum304
Range246
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.32838562
Coefficient of variation (CV)0.1907880614
Kurtosis48.96389305
Mean96.06673228
Median Absolute Deviation (MAD)7
Skewness5.141742256
Sum48801.9
Variance335.9297195
MonotonicityNot monotonic
2024-05-04T15:21:54.040676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 24
 
1.8%
87 23
 
1.7%
93 22
 
1.6%
94 20
 
1.5%
90 20
 
1.5%
100 20
 
1.5%
84 19
 
1.4%
98 18
 
1.3%
101 17
 
1.2%
95 17
 
1.2%
Other values (71) 308
 
22.5%
(Missing) 862
62.9%
ValueCountFrequency (%)
58 1
 
0.1%
66 2
0.1%
67 1
 
0.1%
69 1
 
0.1%
70 3
0.2%
ValueCountFrequency (%)
304 1
0.1%
271 1
0.1%
176 1
0.1%
169 1
0.1%
149 1
0.1%

peso_pg_h
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)36.3%
Missing1188
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean63.9989011
Minimum36
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-04T15:21:54.228178image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile46
Q154
median62
Q370
95-th percentile89
Maximum117
Range81
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.76861267
Coefficient of variation (CV)0.215138267
Kurtosis1.097521767
Mean63.9989011
Median Absolute Deviation (MAD)8
Skewness0.9926176737
Sum11647.8
Variance189.5746949
MonotonicityNot monotonic
2024-05-04T15:21:54.449328image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 10
 
0.7%
60 8
 
0.6%
64 8
 
0.6%
54 7
 
0.5%
50 7
 
0.5%
66 6
 
0.4%
57 6
 
0.4%
56 6
 
0.4%
45 6
 
0.4%
49 5
 
0.4%
Other values (56) 113
 
8.2%
(Missing) 1188
86.7%
ValueCountFrequency (%)
36 1
 
0.1%
43 1
 
0.1%
45 6
0.4%
46 3
0.2%
47 2
 
0.1%
ValueCountFrequency (%)
117 1
0.1%
109 1
0.1%
99 1
0.1%
98.5 1
0.1%
98 1
0.1%

f_encCTOG
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1207
Missing (%)88.1%
Memory size53.7 KiB

fecha_muestraCTOG
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1207
Missing (%)88.1%
Memory size53.7 KiB